LTEE_GAP1_CNV_Variant_Analysis
Brandt
2018-11-09
Experiment overview
Write a detailed description of your experiment here including the goal of the analysis and your interpretation of the results.
If you still see this text it means that you have not described the experiment and whatever follows is meaningless. ###############################
This code is designed for use with the Accuri flow cytometer, which is equiped with the following lasers and filters
- Blue laser (488 nm)
- FL1 filter = 514/20nm GFP
FL3 filter = 575/25nm YFP
- Yellow/green laser (552 nm)
- FL2 filter = 610/20nm mCherry, dtomato
FL4 filter = 586/15nm DsRed
Requirements
Output
0.1 Step 1: Load relevant libraries
# This is a function that just makes sure you have a package, or installs it for you without prompting
requireInstall <- function(packageName,isBioconductor=F) {
if ( !try(require(packageName,character.only=T)) ) {
print(paste0("You don't have ",packageName," accessible, ",
"I'm gonna install it"))
if (isBioconductor) {
source("http://bioconductor.org/biocLite.R")
biocLite(packageName)
} else {
install.packages("packageName", repos = "http://cran.us.r-project.org")
}
}
return(1)
}
#Load libraries
requireInstall("tidyverse")## Loading required package: tidyverse## ── Attaching packages ────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──## ✔ ggplot2 3.1.0 ✔ purrr 0.2.5
## ✔ tibble 1.4.2 ✔ dplyr 0.7.7
## ✔ tidyr 0.8.2 ✔ stringr 1.3.1
## ✔ readr 1.1.1 ✔ forcats 0.3.0## ── Conflicts ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()## [1] 1requireInstall("flowCore",isBioconductor=T)## Loading required package: flowCore## [1] 1requireInstall("flowViz",isBioconductor=T)## Loading required package: flowViz## Loading required package: lattice## [1] 1requireInstall("ggcyto",isBioconductor=T)## Loading required package: ggcyto## Loading required package: ncdfFlow## Loading required package: RcppArmadillo## Loading required package: BH## Loading required package: flowWorkspace## [1] 1requireInstall("devtools",isBioconductor=T)## Loading required package: devtools## [1] 1requireInstall("ggpubr",isBioconductor=T)## Loading required package: ggpubr## Loading required package: magrittr##
## Attaching package: 'magrittr'## The following object is masked from 'package:flowWorkspace':
##
## add## The following object is masked from 'package:flowCore':
##
## add## The following object is masked from 'package:purrr':
##
## set_names## The following object is masked from 'package:tidyr':
##
## extract## [1] 1devtools::install_github("guiastrennec/ggplus")## Skipping install of 'ggplus' from a github remote, the SHA1 (a4821deb) has not changed since last install.
## Use `force = TRUE` to force installationdevtools::install_github("kassambara/ggpubr")## Skipping install of 'ggpubr' from a github remote, the SHA1 (ace05f91) has not changed since last install.
## Use `force = TRUE` to force installationlibrary("ggplus")
library("ggpubr")#Set working directory to the folder in which you have stored your .fcs files
#Read in all the fcs files in the directory.
path.data <-"~/Google Drive/MiniStatRun_10_2018/"
list.folders <- c("LTEE_mCitrine_GAP1_Variants_T00", "LTEE_mCitrine_GAP1_Variants_T06", "LTEE_mCitrine_GAP1_Variants_T07", "LTEE_mCitrine_GAP1_Variants_T08.1", "LTEE_mCitrine_GAP1_Variants_T08.2", "LTEE_mCitrine_GAP1_Variants_T08.3", "LTEE_mCitrine_GAP1_Variants_T11.1", "LTEE_mCitrine_GAP1_Variants_T11.2", "LTEE_mCitrine_GAP1_Variants_T13.1", "LTEE_mCitrine_GAP1_Variants_T13.2", "LTEE_mCitrine_GAP1_Variants_T14", "LTEE_mCitrine_GAP1_Variants_T15", "LTEE_mCitrine_GAP1_Variants_T18")
flowData <- read.flowSet(path = paste(path.data, list.folders[1],"/", sep=""), pattern=".fcs", alter.names = TRUE)
sample.sheet <- read.csv(paste(path.data,"Samplesheet_",list.folders[1],".csv", sep=""))
#Adds a sample sheet data to the pData of the flowset
sampleNames(flowData) <- paste(gsub(" ","_",sample.sheet$Strain),"_T",gsub(" ","_",sample.sheet$Timepoint),"_",sub(" ","_",sample.sheet$Well), sep="")
pData(flowData)$Strain <- gsub(" ","_",sample.sheet$Strain)
pData(flowData)$Genotype <- gsub(" ","_",sample.sheet$Genotype)
pData(flowData)$Classification <- gsub(" ","_",sample.sheet$Classification)
pData(flowData)$Vessel <- gsub(" ","_",sample.sheet$Vessel)
pData(flowData)$Media <- gsub(" ","_",sample.sheet$Media)
pData(flowData)$Ploidy <- gsub(" ","_",sample.sheet$Ploidy)
pData(flowData)$Well <- gsub(" ","_",sample.sheet$Well)
pData(flowData)$Experiment <- gsub(" ","_",sample.sheet$Experiment)
pData(flowData)$Timepoint <- gsub(" ","_",sample.sheet$Timepoint)
pData(flowData)$Run <- list.folders[1]
#Need to go throw list 1 by 1 troubnleshooting errors
for(i in 2:length(list.folders)) {
flowData.temp <- read.flowSet(path = paste(path.data,list.folders[i],"/", sep=""), pattern=".fcs", alter.names = TRUE)
sample.sheet <- read.csv(paste(path.data,"Samplesheet_",list.folders[i],".csv", sep=""))
#Adds a sample sheet data to the pData of the flowset
sampleNames(flowData.temp) <- paste(gsub(" ","_",sample.sheet$Strain),"_T",gsub(" ","_",sample.sheet$Timepoint),"_",sub(" ","_",sample.sheet$Well), sep="")
pData(flowData.temp)$Strain <- gsub(" ","_",sample.sheet$Strain)
pData(flowData.temp)$Genotype <- gsub(" ","_",sample.sheet$Genotype)
pData(flowData.temp)$Classification <- gsub(" ","_",sample.sheet$Classification)
pData(flowData.temp)$Vessel <- gsub(" ","_",sample.sheet$Vessel)
pData(flowData.temp)$Media <- gsub(" ","_",sample.sheet$Media)
pData(flowData.temp)$Ploidy <- gsub(" ","_",sample.sheet$Ploidy)
pData(flowData.temp)$Well <- gsub(" ","_",sample.sheet$Well)
pData(flowData.temp)$Experiment <- gsub(" ","_",sample.sheet$Experiment)
pData(flowData.temp)$Timepoint <- gsub(" ","_",sample.sheet$Timepoint)
pData(flowData.temp)$Run <- list.folders[i]
flowData <- rbind2(flowData, flowData.temp)
}#Check how many cells were counted in each fcs file
total <- fsApply(flowData, each_col, length) #total counts per sample
print(total)## FSC.A SSC.A FL1.A FL2.A FL3.A FL4.A FSC.H SSC.H
## DGY#1_T0_A01 100000 100000 100000 100000 100000 100000 100000 100000
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## DGY#1_TNA_A02 10000 10000 10000 10000 10000 10000 10000 10000
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## DGY#500_TNA_C02 10000 10000 10000 10000 10000 10000 10000 10000
## DGY#1315_TNA_D02 8720 8720 8720 8720 8720 8720 8720 8720
## DGY#1657_TNA_E02 10000 10000 10000 10000 10000 10000 10000 10000
## DGY#2071_TNA_F02 10000 10000 10000 10000 10000 10000 10000 10000
## DGY#2076_TNA_G02 9757 9757 9757 9757 9757 9757 9757 9757
## DGY#2150_TNA_H02 2560 2560 2560 2560 2560 2560 2560 2560
## DGY#2084_TNA_A03 10000 10000 10000 10000 10000 10000 10000 10000
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## DGY#2089_TNA_C03 10000 10000 10000 10000 10000 10000 10000 10000
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## DGY#1972_TNA_E03 10000 10000 10000 10000 10000 10000 10000 10000
## DGY#2135_TNA_F03 10000 10000 10000 10000 10000 10000 10000 10000
## DGY#2143_TNA_G03 8935 8935 8935 8935 8935 8935 8935 8935
## DGY#2144_TNA_H03 10000 10000 10000 10000 10000 10000 10000 10000
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## DGY#1315_T8_D04 100000 100000 100000 100000 100000 100000 100000 100000
## DGY#1657_T8_E04 99191 99191 99191 99191 99191 99191 99191 99191
## DGY#2076_T8_F04 100000 100000 100000 100000 100000 100000 100000 100000
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## DGY#1315_T11_D05 100000 100000 100000 100000 100000 100000 100000 100000
## DGY#1657_T11_E05 100000 100000 100000 100000 100000 100000 100000 100000
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## DGY#2135_T13_B04 100000 100000 100000 100000 100000 100000 100000 100000
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## DGY#1972_T14_E02 100000 100000 100000 100000 100000 100000
## DGY#2135_T14_F02 18306 18306 18306 18306 18306 18306
## DGY#2143_T14_G02 100000 100000 100000 100000 100000 100000
## DGY#2144_T14_H02 100000 100000 100000 100000 100000 100000
## DGY#1657_T14_A03 100000 100000 100000 100000 100000 100000
## DGY#2076_T14_B03 100000 100000 100000 100000 100000 100000
## DGY#2071_T14_C03 100000 100000 100000 100000 100000 100000
## DGY#2150_T14_D03 100000 100000 100000 100000 100000 100000
## DGY#2084_T14_E03 100000 100000 100000 100000 100000 100000
## DGY#2086_T14_F03 100000 100000 100000 100000 100000 100000
## DGY#2089_T14_G03 100000 100000 100000 100000 100000 100000
## DGY#2090_T14_H03 100000 100000 100000 100000 100000 100000
## DGY#1972_T14_A04 100000 100000 100000 100000 100000 100000
## DGY#2135_T14_B04 100000 100000 100000 100000 100000 100000
## DGY#2143_T14_C04 100000 100000 100000 100000 100000 100000
## DGY#2144_T14_D04 100000 100000 100000 100000 100000 100000
## DGY#2084_T14_E04 100000 100000 100000 100000 100000 100000
## DGY#2086_T14_F04 100000 100000 100000 100000 100000 100000
## DGY#2089_T14_G04 100000 100000 100000 100000 100000 100000
## DGY#2090_T14_H04 100000 100000 100000 100000 100000 100000
## DGY#1_T15_A01 100000 100000 100000 100000 100000 100000
## DGY#620_T15_B01 100000 100000 100000 100000 100000 100000
## DGY#500_T15_C01 100000 100000 100000 100000 100000 100000
## DGY#1315_T15_D01 100000 100000 100000 100000 100000 100000
## DGY#1657_T15_E01 100000 100000 100000 100000 100000 100000
## DGY#2076_T15_F01 100000 100000 100000 100000 100000 100000
## DGY#2071_T15_G01 100000 100000 100000 100000 100000 100000
## DGY#2150_T15_H01 100000 100000 100000 100000 100000 100000
## DGY#2084_T15_A02 100000 100000 100000 100000 100000 100000
## DGY#2086_T15_B02 100000 100000 100000 100000 100000 100000
## DGY#2089_T15_C02 100000 100000 100000 100000 100000 100000
## DGY#2090_T15_D02 100000 100000 100000 100000 100000 100000
## DGY#1972_T15_E02 100000 100000 100000 100000 100000 100000
## DGY#2135_T15_F02 100000 100000 100000 100000 100000 100000
## DGY#2143_T15_G02 100000 100000 100000 100000 100000 100000
## DGY#2144_T15_H02 100000 100000 100000 100000 100000 100000
## DGY#1657_T15_A03 100000 100000 100000 100000 100000 100000
## DGY#2076_T15_B03 100000 100000 100000 100000 100000 100000
## DGY#2071_T15_C03 100000 100000 100000 100000 100000 100000
## DGY#2150_T15_D03 100000 100000 100000 100000 100000 100000
## DGY#2084_T15_E03 100000 100000 100000 100000 100000 100000
## DGY#2086_T15_F03 100000 100000 100000 100000 100000 100000
## DGY#2089_T15_G03 100000 100000 100000 100000 100000 100000
## DGY#2090_T15_H03 100000 100000 100000 100000 100000 100000
## DGY#1972_T15_A04 100000 100000 100000 100000 100000 100000
## DGY#2135_T15_B04 100000 100000 100000 100000 100000 100000
## DGY#2143_T15_C04 100000 100000 100000 100000 100000 100000
## DGY#2144_T15_D04 100000 100000 100000 100000 100000 100000
## DGY#2084_T15_E04 100000 100000 100000 100000 100000 100000
## DGY#2086_T15_F04 100000 100000 100000 100000 100000 100000
## DGY#2089_T15_G04 100000 100000 100000 100000 100000 100000
## DGY#2090_T15_H04 100000 100000 100000 100000 100000 100000
## DGY#1_T18_A01 100000 100000 100000 100000 100000 100000
## DGY#620_T18_B01 100000 100000 100000 100000 100000 100000
## DGY#500_T18_C01 100000 100000 100000 100000 100000 100000
## DGY#1315_T18_D01 100000 100000 100000 100000 100000 100000
## DGY#1657_T18_E01 100000 100000 100000 100000 100000 100000
## DGY#2076_T18_F01 100000 100000 100000 100000 100000 100000
## DGY#2071_T18_G01 100000 100000 100000 100000 100000 100000
## DGY#2150_T18_H01 100000 100000 100000 100000 100000 100000
## DGY#2084_T18_A02 100000 100000 100000 100000 100000 100000
## DGY#2086_T18_B02 100000 100000 100000 100000 100000 100000
## DGY#2089_T18_C02 100000 100000 100000 100000 100000 100000
## DGY#2090_T18_D02 100000 100000 100000 100000 100000 100000
## DGY#1972_T18_E02 100000 100000 100000 100000 100000 100000
## DGY#2135_T18_F02 100000 100000 100000 100000 100000 100000
## DGY#2143_T18_G02 100000 100000 100000 100000 100000 100000
## DGY#2144_T18_H02 100000 100000 100000 100000 100000 100000
## DGY#1657_T18_A03 100000 100000 100000 100000 100000 100000
## DGY#2076_T18_B03 100000 100000 100000 100000 100000 100000
## DGY#2071_T18_C03 100000 100000 100000 100000 100000 100000
## DGY#2150_T18_D03 100000 100000 100000 100000 100000 100000
## DGY#2084_T18_E03 100000 100000 100000 100000 100000 100000
## DGY#2086_T18_F03 100000 100000 100000 100000 100000 100000
## DGY#2089_T18_G03 100000 100000 100000 100000 100000 100000
## DGY#2090_T18_H03 100000 100000 100000 100000 100000 100000
## DGY#1972_T18_A04 100000 100000 100000 100000 100000 100000
## DGY#2135_T18_B04 100000 100000 100000 100000 100000 100000
## DGY#2143_T18_C04 100000 100000 100000 100000 100000 100000
## DGY#2144_T18_D04 100000 100000 100000 100000 100000 100000
## DGY#2084_T18_E04 100000 100000 100000 100000 100000 100000
## DGY#2086_T18_F04 100000 100000 100000 100000 100000 100000
## DGY#2089_T18_G04 100000 100000 100000 100000 100000 100000
## DGY#2090_T18_H04 100000 100000 100000 100000 100000 100000#Print the medians of data values for each measurement
fsApply(flowData, each_col, median)## FSC.A SSC.A FL1.A FL2.A FL3.A FL4.A
## DGY#1_T0_A01 286069.5 61026.0 1053.0 201.0 456.0 185.0
## DGY#620_T0_B01 276963.5 54805.0 25110.5 430.0 2077.0 437.0
## DGY#500_T0_C01 275628.5 55883.0 35736.0 511.0 2842.0 521.0
## DGY#1315_T0_D01 246890.0 48866.0 28087.5 440.0 2244.0 437.0
## DGY#1657_T0_E01 336104.0 78194.0 2019.0 250.0 608.0 229.0
## DGY#2076_T0_F01 314826.0 64305.5 21248.5 388.0 1775.0 383.0
## DGY#2071_T0_G01 279423.5 60814.0 36840.0 523.0 2913.0 529.0
## DGY#2150_T0_H01 251307.0 48130.0 23627.0 405.0 1961.5 404.0
## DGY#2084_T0_A02 281849.0 56948.5 34306.0 498.0 2675.0 512.0
## DGY#2086_T0_B02 260065.5 51883.5 29825.0 449.0 2324.0 453.0
## DGY#2089_T0_C02 273487.0 57032.0 47553.0 599.0 3464.0 607.0
## DGY#2090_T0_D02 249518.0 50653.0 27325.0 430.0 2157.0 430.0
## DGY#1972_T0_E02 277918.5 58340.0 54593.0 657.0 4049.0 678.0
## DGY#2135_T0_F02 294965.0 61140.0 44552.0 583.0 3420.0 588.0
## DGY#2143_T0_G02 370304.0 65166.0 52785.5 655.0 3981.5 659.0
## DGY#2144_T0_H02 251396.5 50750.0 33563.0 499.0 2735.0 497.0
## DGY#1657_T0_A03 274580.0 56488.0 30662.0 471.0 2477.0 481.0
## DGY#2076_T0_B03 268482.0 57003.0 39086.0 530.0 3000.0 538.0
## DGY#2071_T0_C03 283787.0 57359.0 28918.0 455.0 2291.0 458.0
## DGY#2150_T0_D03 293332.0 58325.0 33505.0 496.0 2624.0 497.0
## DGY#2084_T0_E03 271806.5 58191.0 33569.0 490.0 2601.0 499.0
## DGY#2086_T0_F03 245007.0 47090.0 25838.0 425.0 2113.0 427.0
## DGY#2089_T0_G03 307392.5 60605.0 24262.0 421.0 2032.0 410.0
## DGY#2090_T0_H03 328830.0 63693.0 16352.0 350.0 1509.0 340.0
## DGY#1972_T0_A04 277959.0 58954.5 60144.5 693.0 4454.0 705.0
## DGY#2135_T0_B04 250567.5 51455.0 29986.0 455.0 2312.0 461.0
## DGY#2143_T0_C04 269001.5 53680.0 18785.5 387.0 1748.0 385.0
## DGY#2144_T0_D04 282183.5 54988.0 25360.0 425.0 2077.0 421.0
## DGY#2084_T0_E04 383007.0 67131.0 55531.0 682.0 4225.0 705.0
## DGY#2086_T0_F04 262933.5 56419.5 34928.0 493.0 2705.0 493.5
## DGY#2089_T0_G04 304476.5 59826.0 36534.5 518.0 2862.0 515.0
## DGY#2090_T0_H04 324932.0 67741.0 37919.5 527.0 2911.0 524.0
## DGY#1_T6_A01 244133.5 45104.0 656.0 191.0 417.0 178.0
## DGY#620_T6_B01 247903.5 46956.0 35633.0 512.0 2902.0 515.0
## DGY#500_T6_C01 266626.5 51684.0 40208.0 561.0 3234.0 569.0
## DGY#1315_T6_D01 247780.0 44222.0 33158.0 481.0 2690.0 486.0
## DGY#1657_T6_E01 332086.5 63873.5 1546.0 257.0 614.0 240.0
## DGY#2076_T6_F01 289955.0 49918.0 22914.0 393.0 1953.0 386.0
## DGY#2071_T6_G01 266642.0 52283.5 37264.0 531.0 3027.0 540.5
## DGY#2150_T6_H01 235559.0 39812.0 22330.0 378.0 1888.0 386.0
## DGY#2084_T6_A02 246850.0 47092.5 42462.0 579.0 3411.0 582.0
## DGY#2086_T6_B02 235061.5 42279.5 32788.0 481.0 2669.0 483.0
## DGY#2089_T6_C02 260985.5 49573.0 69541.5 828.0 5330.0 836.0
## DGY#2090_T6_D02 250997.5 45525.0 32838.0 470.0 2613.0 481.0
## DGY#1972_T6_E02 250423.5 48073.5 75573.5 882.0 5767.0 890.0
## DGY#2135_T6_F02 266748.5 51639.5 45035.5 599.0 3556.0 598.0
## DGY#2143_T6_G02 291404.0 47760.0 49172.5 651.0 3911.0 675.0
## DGY#2144_T6_H02 248349.0 46689.5 28448.5 440.0 2342.0 448.0
## DGY#1657_T6_A03 257626.0 51219.0 39329.0 551.0 3190.0 554.0
## DGY#2076_T6_B03 246544.0 48355.5 42055.0 570.0 3347.0 575.0
## DGY#2071_T6_C03 265835.5 49537.0 35945.5 517.0 2902.0 526.0
## DGY#2150_T6_D03 277546.0 58573.0 44192.0 596.0 3507.0 611.0
## DGY#2084_T6_E03 255897.5 52692.0 44225.0 596.0 3527.0 599.0
## DGY#2086_T6_F03 236171.0 48425.0 34512.0 508.0 2843.0 515.0
## DGY#2089_T6_G03 300379.5 61207.0 25114.0 422.0 2137.0 423.0
## DGY#2090_T6_H03 329374.0 65161.0 21110.0 375.0 1812.0 376.0
## DGY#1972_T6_A04 261528.0 53816.0 66790.5 804.0 5162.0 815.0
## DGY#2135_T6_B04 239443.0 46236.0 40291.0 553.0 3204.0 553.0
## DGY#2143_T6_C04 255264.5 46745.0 32798.0 477.0 2646.0 486.0
## DGY#2144_T6_D04 274551.0 52680.0 34728.0 496.0 2800.0 506.0
## DGY#2084_T6_E04 310037.5 58420.0 53305.0 676.0 4180.0 683.0
## DGY#2086_T6_F04 263793.0 57220.5 41433.0 574.0 3324.0 580.0
## DGY#2089_T6_G04 300360.5 62018.0 43428.5 595.0 3457.0 604.0
## DGY#2090_T6_H04 294025.5 59381.0 41376.5 564.0 3283.0 570.0
## DGY#1_T7_A05 257257.0 57255.5 1014.0 201.0 445.0 186.0
## DGY#620_T7_B05 245869.5 53340.0 32623.5 481.0 2601.0 486.0
## DGY#500_T7_C05 256727.5 56481.0 40815.5 564.0 3255.0 569.0
## DGY#1315_T7_D05 249749.5 56578.5 34420.0 492.0 2773.0 499.0
## DGY#1657_T7_E05 350916.0 81086.5 2488.0 265.0 659.0 240.0
## DGY#2076_T7_F05 291383.0 62158.0 23009.0 402.0 1923.0 398.0
## DGY#2071_T7_G05 243137.5 54047.5 38110.0 539.0 3069.0 547.0
## DGY#2150_T7_H05 236201.0 51307.5 26291.5 418.0 2156.0 423.0
## DGY#2084_T7_A06 247339.5 53801.0 41924.0 571.0 3300.0 580.0
## DGY#2086_T7_B06 233099.0 49461.5 32519.0 472.0 2589.0 478.0
## DGY#2089_T7_C06 238728.0 52193.0 67002.5 800.0 5095.0 813.0
## DGY#2090_T7_D06 225495.5 49285.5 33174.0 478.0 2663.0 480.0
## DGY#1972_T7_E06 251129.0 55249.0 72046.5 842.0 5395.0 852.0
## DGY#2135_T7_F06 263561.5 57183.0 43417.0 580.0 3363.0 582.0
## DGY#2143_T7_G06 291327.0 59720.0 37764.0 518.0 2920.0 526.0
## DGY#2144_T7_H06 231525.5 50126.0 28036.0 440.0 2327.0 446.0
## DGY#1657_T7_A07 252201.5 54023.0 37196.0 523.0 2934.0 526.0
## DGY#2076_T7_B07 231013.5 50095.0 42202.0 565.0 3292.0 569.0
## DGY#2071_T7_C07 251463.5 56069.0 35269.5 503.0 2833.0 512.0
## DGY#2150_T7_D07 253081.0 57319.0 39278.0 553.0 3179.0 559.0
## DGY#2084_T7_E07 242318.0 51470.0 41842.0 571.0 3285.0 575.0
## DGY#2086_T7_F07 226643.0 48165.0 33844.0 490.0 2715.0 494.0
## DGY#2089_T7_G07 285366.0 61768.5 23588.0 409.0 2020.0 405.0
## DGY#2090_T7_H07 312037.0 63156.0 19628.0 371.0 1745.0 367.0
## DGY#1972_T7_A08 264865.0 53760.5 62984.5 767.0 4780.0 788.0
## DGY#2135_T7_B08 224380.0 50105.0 38043.0 524.0 3003.0 528.0
## DGY#2143_T7_C08 241255.5 53891.5 29036.0 439.0 2343.0 443.0
## DGY#2144_T7_D08 281309.0 59191.0 35118.0 517.0 2912.0 526.0
## DGY#2084_T7_E08 305516.0 57147.0 54558.5 688.0 4192.0 696.0
## DGY#2086_T7_F08 243023.0 54904.0 40854.0 555.0 3213.0 559.0
## DGY#2089_T7_G08 266206.5 59468.0 39373.0 548.0 3157.0 550.0
## DGY#2090_T7_H08 280810.5 64116.0 40320.0 559.0 3240.0 559.0
## DGY#1_T8_A01 206220.5 44935.0 980.0 194.0 435.0 181.0
## DGY#500_T8_B01 189294.0 43760.0 41816.0 579.0 3353.0 586.0
## DGY#1315_T8_C01 192133.5 44303.0 75603.5 860.0 5692.0 880.0
## DGY#1657_T8_D01 199102.5 45352.5 36369.5 521.0 2958.0 526.0
## DGY#2084_T8_E01 188893.0 44209.0 36362.0 524.0 2966.0 531.0
## DGY#2144_T8_F01 182969.5 41334.5 38486.0 537.0 3098.0 540.0
## DGY#2150_T8_G01 236694.0 47798.0 49719.0 632.0 3890.0 649.0
## DGY#2135_T8_H01 176024.5 39570.0 29295.0 446.0 2434.0 453.0
## DGY#1_TNA_A02 399510.0 67487.5 2341.0 229.0 567.0 214.0
## DGY#620_TNA_B02 580309.5 97012.5 155515.0 1706.0 11436.0 1716.0
## DGY#500_TNA_C02 493668.0 81642.0 3433.0 260.0 685.0 235.0
## DGY#1315_TNA_D02 748798.5 111725.0 97815.5 1215.0 7466.0 1206.0
## DGY#1657_TNA_E02 402765.0 70768.5 119218.5 1283.5 9010.0 1304.0
## DGY#2071_TNA_F02 519366.5 81517.0 139264.0 1529.5 10288.5 1537.5
## DGY#2076_TNA_G02 483620.0 77509.0 251939.0 2568.0 18276.0 2607.0
## DGY#2150_TNA_H02 853326.0 144910.5 248309.0 2649.5 18367.0 2655.5
## DGY#2084_TNA_A03 462639.0 76021.0 123386.0 1380.0 9348.0 1410.0
## DGY#2086_TNA_B03 426943.5 66232.0 114938.0 1259.0 8676.5 1265.0
## DGY#2089_TNA_C03 448285.0 74518.0 157358.5 1692.0 11723.0 1722.0
## DGY#2090_TNA_D03 523477.0 87429.5 120571.0 1361.0 9046.0 1369.0
## DGY#1972_TNA_E03 438611.0 71982.5 122443.0 1355.0 9144.0 1375.5
## DGY#2135_TNA_F03 447898.5 74824.5 115311.0 1296.0 8779.0 1312.5
## DGY#2143_TNA_G03 476463.0 74133.0 119998.0 1334.0 8913.0 1364.0
## DGY#2144_TNA_H03 435236.5 77359.5 130643.0 1440.0 9860.0 1433.0
## DGY#1_T8_A04 304911.5 63229.0 548.0 190.0 390.0 185.0
## DGY#620_T8_B04 245836.5 48236.0 454.5 179.0 373.0 178.0
## DGY#500_T8_C04 223354.5 49940.0 33856.0 481.0 2687.0 487.0
## DGY#1315_T8_D04 180119.0 40947.0 25405.0 388.0 2006.0 391.0
## DGY#1657_T8_E04 448121.0 80620.0 1154.0 237.0 524.0 221.0
## DGY#2076_T8_F04 232615.0 57473.5 12427.5 303.0 1203.0 303.0
## DGY#2071_T8_G04 227594.5 48562.5 31195.0 459.0 2506.0 467.0
## DGY#2150_T8_H04 176050.0 39704.0 21460.0 359.0 1782.0 359.0
## DGY#2084_T8_A05 210868.0 51208.0 31828.0 453.0 2521.0 459.0
## DGY#2086_T8_B05 198239.0 48425.0 20480.0 356.0 1655.0 363.0
## DGY#2089_T8_C05 216763.5 55776.5 30287.0 444.0 2247.0 471.0
## DGY#2090_T8_D05 172639.5 38420.0 26477.5 400.0 2107.0 402.0
## DGY#1972_T8_E05 218664.5 53481.0 56839.0 674.0 4268.0 675.0
## DGY#2135_T8_F05 216435.0 51371.0 37153.0 505.0 2899.0 505.0
## DGY#2143_T8_G05 247708.0 49560.0 40037.5 531.0 3095.0 535.0
## DGY#2144_T8_H05 182203.5 40012.0 20954.0 355.0 1714.5 357.0
## DGY#1657_T8_A06 216189.0 49742.0 31979.0 461.0 2562.0 465.0
## DGY#2076_T8_B06 191357.0 43159.0 35149.0 489.0 2777.0 487.0
## DGY#2071_T8_C06 206408.0 47186.0 30377.0 447.0 2417.0 449.0
## DGY#2150_T8_D06 198383.0 44302.0 32402.0 470.0 2580.0 475.0
## DGY#2084_T8_E06 216416.0 49127.5 36153.0 500.0 2848.0 502.0
## DGY#2086_T8_F06 189007.0 41951.0 28442.0 428.0 2306.0 430.0
## DGY#2089_T8_G06 228566.5 52342.0 19045.0 346.0 1599.0 341.0
## DGY#2090_T8_H06 246120.5 52201.0 16003.0 321.0 1409.0 316.0
## DGY#1972_T8_A07 210214.5 46850.0 55378.5 671.0 4190.0 677.0
## DGY#2135_T8_B07 188992.5 43388.0 30202.5 431.0 2363.0 432.0
## DGY#2143_T8_C07 205149.0 44151.0 27903.0 427.0 2264.0 429.0
## DGY#2144_T8_D07 204896.5 45086.5 27465.0 422.0 2233.0 429.0
## DGY#2084_T8_E07 249025.5 49372.5 42929.5 564.0 3313.0 576.0
## DGY#2086_T8_F07 216285.5 48550.0 34429.0 483.0 2709.0 484.0
## DGY#2089_T8_G07 207132.0 46297.5 31054.0 447.0 2450.0 449.0
## DGY#2090_T8_H07 217163.0 50097.0 31023.0 449.0 2449.0 449.0
## DGY#1_T11_A01 301539.0 64301.0 941.0 207.0 469.0 194.0
## DGY#620_T11_B01 273926.0 51460.0 1106.0 221.0 593.0 223.0
## DGY#500_T11_C01 319644.0 67535.5 32060.0 472.0 2562.0 483.0
## DGY#1315_T11_D01 302425.0 64268.0 33996.0 490.0 2773.0 505.0
## DGY#1657_T11_E01 363916.0 89838.0 899.0 204.0 463.0 197.0
## DGY#2076_T11_F01 324887.0 63329.5 22055.5 394.0 1911.0 389.0
## DGY#2071_T11_G01 291324.0 64745.0 31485.5 468.0 2547.0 480.0
## DGY#2150_T11_H01 265414.5 50895.5 2254.0 304.0 1119.0 319.0
## DGY#2084_T11_A02 291884.0 64321.0 36072.0 506.0 2878.0 516.0
## DGY#2086_T11_B02 284562.0 58471.0 31750.0 464.0 2565.0 472.0
## DGY#2089_T11_C02 315427.0 69211.0 42010.5 595.0 3435.0 618.0
## DGY#2090_T11_D02 276184.5 57304.0 31720.0 471.0 2601.0 481.0
## DGY#1972_T11_E02 297719.0 62610.5 74226.0 861.0 5686.0 883.0
## DGY#2135_T11_F02 322571.5 68822.0 44584.0 604.0 3603.0 618.0
## DGY#2143_T11_G02 307692.5 63201.0 32433.5 492.0 2538.0 506.0
## DGY#2144_T11_H02 268287.5 54454.5 3168.0 324.0 1283.0 334.0
## DGY#1657_T11_A03 326570.0 66418.0 1926.0 313.0 1060.0 331.0
## DGY#2076_T11_B03 287495.5 59204.0 1864.0 310.0 1063.0 332.0
## DGY#2071_T11_C03 287704.5 62085.0 34117.0 500.0 2801.0 513.0
## DGY#2150_T11_D03 276215.0 59765.0 3356.0 352.0 1429.0 373.0
## DGY#2084_T11_E03 303431.0 66839.0 35176.5 499.0 2788.0 509.0
## DGY#2086_T11_F03 282041.5 56544.0 668.0 194.0 454.0 192.0
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## DGY#2084_T13_E07 518904.5 100725.0 130644.5 1471.0 9746.0 1485.0
## DGY#2086_T13_F07 364035.5 75070.5 75681.0 926.0 5781.0 928.0
## DGY#2089_T13_G07 343879.0 64044.0 38813.0 587.0 3182.0 575.0
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## DGY#620_T14_B01 285499.0 62599.5 66931.0 839.0 5242.0 877.0
## DGY#500_T14_C01 349025.0 79380.0 79706.5 973.0 6173.0 995.0
## DGY#1315_T14_D01 370619.0 55232.5 2357.0 318.0 732.0 299.0
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## DGY#2086_T14_F04 528885.5 99106.5 143426.0 1597.0 10872.0 1645.0
## DGY#2089_T14_G04 571698.5 120593.0 128351.0 1464.0 9789.0 1504.0
## DGY#2090_T14_H04 358404.5 88239.0 73641.0 907.0 5739.0 931.0
## DGY#1_T15_A01 328107.0 72699.5 1559.0 241.0 561.0 224.0
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## DGY#1972_T15_E02 380168.5 81611.5 199751.0 2093.0 14801.0 2158.0
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## DGY#2144_T15_H02 347524.5 75588.5 2381.0 396.0 1202.0 429.0
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## DGY#2144_T15_D04 364240.5 73480.5 1361.0 278.0 634.0 286.0
## DGY#2084_T15_E04 848840.0 137558.5 229552.0 2475.0 17013.0 2535.0
## DGY#2086_T15_F04 445102.0 85500.0 110266.0 1262.0 8348.0 1316.0
## DGY#2089_T15_G04 679914.5 152168.0 7764.0 646.0 1846.0 691.0
## DGY#2090_T15_H04 382433.0 91676.5 71187.5 885.0 5555.0 921.0
## DGY#1_T18_A01 338659.0 68596.5 1479.0 219.0 512.0 198.0
## DGY#620_T18_B01 278936.5 58925.0 55346.0 723.0 4386.0 751.0
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## DGY#2084_T18_A02 298576.0 58666.0 61306.0 773.0 4796.0 792.0
## DGY#2086_T18_B02 258430.0 54540.5 47228.0 637.0 3786.0 656.0
## DGY#2089_T18_C02 297059.5 64122.0 99646.5 1119.0 7531.0 1159.0
## DGY#2090_T18_D02 256664.5 52303.0 44264.0 602.0 3598.0 630.0
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## DGY#2144_T18_H02 262955.5 51346.0 43859.0 602.0 3551.0 629.0
## DGY#1657_T18_A03 283215.0 57758.0 50712.0 674.0 4049.0 691.0
## DGY#2076_T18_B03 298767.5 60224.0 76811.5 914.0 5897.0 951.0
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## DGY#2150_T18_D03 303747.0 63205.5 54552.5 707.0 4285.0 745.0
## DGY#2084_T18_E03 318346.5 63170.0 66487.0 829.0 5148.0 856.0
## DGY#2086_T18_F03 292406.0 56397.0 42851.0 599.0 3402.0 608.0
## DGY#2089_T18_G03 272151.0 56050.5 30040.0 486.0 2580.0 487.0
## DGY#2090_T18_H03 299194.0 61027.0 25952.0 444.0 2301.0 451.0
## DGY#1972_T18_A04 295572.5 60654.0 110305.5 1225.0 8295.0 1268.0
## DGY#2135_T18_B04 283620.0 58447.5 69848.0 853.0 5400.0 891.0
## DGY#2143_T18_C04 272811.0 58173.5 47558.0 652.0 3899.0 683.0
## DGY#2144_T18_D04 271358.0 59754.0 46754.0 630.0 3782.0 661.0
## DGY#2084_T18_E04 286019.0 58616.0 61575.5 779.0 4788.0 804.0
## DGY#2086_T18_F04 275713.0 53313.0 59802.0 752.0 4660.0 778.0
## DGY#2089_T18_G04 279708.5 59656.0 52600.0 693.0 4213.0 723.0
## DGY#2090_T18_H04 283172.0 64390.5 52854.5 689.0 4193.0 716.0
## FSC.H SSC.H FL1.H FL2.H FL3.H FL4.H Width
## DGY#1_T0_A01 414931.0 74847.0 1965.0 148.0 1210.0 352.0 52
## DGY#620_T0_B01 398551.5 67690.5 22936.5 290.0 2120.0 495.0 52
## DGY#500_T0_C01 399823.0 69631.0 31639.5 358.0 2658.0 543.0 51
## DGY#1315_T0_D01 374092.0 63061.5 26466.0 307.0 2382.0 494.0 49
## DGY#1657_T0_E01 418034.5 83936.0 2552.0 174.0 1337.0 392.0 60
## DGY#2076_T0_F01 437004.5 75613.5 18084.0 257.0 1886.0 461.0 55
## DGY#2071_T0_G01 403619.5 74992.0 32435.0 368.0 2702.0 550.0 52
## DGY#2150_T0_H01 378865.5 62099.0 21809.5 278.0 2084.0 469.0 49
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## DGY#2090_T18_H04 341.0#combine all flowSets into a single flowset
samples.num <- length(flowData)
print(samples.num)## [1] 3761 Step 3: apply filters to data and generate plots showing the effect on filtering
2 Step 4: Data analysis
3 diagnostic values can be defined for plotting purposes
#define critical values that can superimposed on plots for easy visual comparison
gfp.bg <- 3.9 #a background value for GFP
gfp.wt <- 5.9 #a value for wildtype GFP expression
haploid.fsc <- 6e5 #an empirical value for forward scatter for haploids
diploid.fsc <- 7e5 #an empirical value for forward scatter for diploids
gfp.norm <- 0.935 #an empricial value for gfp expression normalized by forward scatter4 Transfer data into a dataframe and produce summary stats
#Temp
filterData <-flowData
#Summary Statistics of Normalized Filtered Data
#Move filtered data into a dataframe
filter.data <- data.frame(FSC.A=NA,SSC.A=NA,FL1.A=NA, SAMPLE=NA, VESSEL=NA,STRAIN=NA,TIMEPOINT=NA)
stats.data <- data.frame(VESSEL=NA,STRAIN=NA,COUNT=NA,MEDIAN=NA,MEAN=NA,SD=NA,VAR=NA)
for(i in 1:length(filterData)){
fsc.a <- exprs(filterData[[i,1]])
ssc.a <- exprs(filterData[[i,2]])
fl1.a <- exprs(filterData[[i,3]])
#fl2.a <- exprs(filterData[[i,4]])
#fl3.a <- exprs(filterData[[i,5]])
#fl4.a <- exprs(filterData[[i,6]])
sample <- sampleNames(filterData[i])
vessel <- pData(filterData)$Vessel[i]
strain <- pData(filterData)$Strain[i]
timepoint <- pData(filterData)$Timepoint[i]
filter.data<-rbind(filter.data,cbind(FSC.A=fsc.a,SSC.A=ssc.a,FL1.A=fl1.a,SAMPLE=sample,VESSEL=vessel,STRAIN=strain,TIMEPOINT=timepoint))
stats.data<-(rbind(stats.data,cbind(VESSEL=vessel,STRAIN=strain,COUNT=length(fsc.a),MEDIAN=median(fl1.a/fsc.a),MEAN=mean(fl1.a/fsc.a),SD=sd(fl1.a/fsc.a),VAR=as.numeric(var(fl1.a/fsc.a)))))
}
#Cleans up DataFrames
filter.data<-filter.data[2:nrow(filter.data),]
stats.data<-stats.data[2:nrow(stats.data),]#Saves Data
save(path.data, list.folders, total, samples.num, flowData, filterData, filter.data, stats.data, file = paste(path.data, "data_DF.RData", sep=""))#Loads Data
load(file = paste(path.data, "data_DF.RData", sep=""))4.1 Extract data from fcs files to generate statistics and boxplots
#Temp
filterData <-flowData
###GLUTAMINE###
#record summary statistics for each sample in a matrix named summary.stats
summary.stats <- matrix(data = NA, nrow = length(filterData), ncol = 9, dimnames = list(sampleNames(filterData),c("FSC_median","FSC_mean", "FSC_sd","FL1_median", "FL1_mean","FL1_sd","normalizedGFP_median", "normalizedGFP_mean", "normalizedGFP_sd")))
#use the sample containing the minimum number of points after filtering for doublets and debris to define the number of data points retained for all samples
sample.size <- min(fsApply(filterData, each_col, length))
print(sample.size)## [1] 2560comparison.FSC <- matrix(data = NA, nrow = sample.size, ncol = length(filterData), byrow = FALSE,dimnames = NULL)
comparison.FL1 <- matrix(data = NA, nrow = sample.size, ncol = length(filterData), byrow = FALSE,dimnames = NULL)
comparison.FL1NormFsc <- matrix(data = NA, nrow = sample.size, ncol = length(filterData), byrow = FALSE,dimnames = NULL)
#for each sample plot a histogram of the normalized data, raw FSC and raw GFP per row
par(mfrow=c(1,2), mar=c(5.1,2.1,2.1,2.1), oma=c(1.5,2,1,1))
#extract data from flowFrames to plot histograms of values and record summary statistics
for (i in 1:length(filterData)){
temp <- exprs(filterData[[i]]) #exprs() extracts a matrix of the values from the flowframe
##########################################
#record summary statistics for the sample#
##########################################
#FSC
summary.stats[i,1] <- median(temp[,1])
summary.stats[i,2] <-mean(temp[,1])
summary.stats[i,3] <- sd(temp[,1])
#FL1
summary.stats[i,4] <- median(temp[,3])
summary.stats[i,5] <-mean(temp[,3])
summary.stats[i,6] <- sd(temp[,3])
#FL1 (GFP) divided by FSC
summary.stats[i,7] <- median(temp[,3]/temp[,1])
summary.stats[i,8] <-mean(temp[,3]/temp[,1])
summary.stats[i,9] <- sd(temp[,3]/temp[,1])
##############################################
#plot histograms of the channels of interest##
##############################################
###############
#Green channel#
###############
#FL1 (GFP)
hist(log10(temp[,3]), br=1000, xlab = "log10(FL1)", main = "FL1")
abline(v=gfp.bg, col="yellow", lty=2, lwd=2)
abline(v=gfp.wt, col="green", lty=2, lwd=2)
legend("topleft", legend=paste("median FL1 = ",round(median(temp[,3]), digits=4),sep=""))
#GFP divided by FSC
hist(temp[,3]/temp[,1], br=500, xlab = "FL1/FSC", main = "FL1/FSC")
abline(v=gfp.norm, col="green", lty=2, lwd=2 )
legend("topleft", legend=paste("median GFP / FSC=",round(median(temp[,3]/temp[,1]), digits=4),sep=""))
mtext(sampleNames(filterData[i]), outer = TRUE, cex = 1.0)
###############
#Other#########
###############
#FSC
hist(log10(temp[,1]), br=500, xlab = "log10(FSC)", main = "FSC", xlim=c(4,8))
abline(v=haploid.fsc, col="blue", lty=2, lwd=2)
abline(v=diploid.fsc, col="grey", lty=2, lwd=2)
legend("topleft", legend=paste("median FSC=",round(median(temp[,1]), digits=4),sep=""))
mtext(sampleNames(filterData[i]), outer = TRUE, cex = 1.0)
print("-------------------------------------------------------")
print("-----------------------------------")
print("----------------------")
############################################################
#keep the data set for generating boxplots comparing values#
############################################################
#Note that the amount of data kept for each sample is defined by the lowest count among all the samples.
comparison.FSC[1:sample.size,i] <- temp[1:sample.size,1] #FSC
comparison.FL1[1:sample.size,i] <- temp[1:sample.size,3] #FL1 (GFP)
comparison.FL1NormFsc[1:sample.size,i] <- temp[1:sample.size,3]/temp[1:sample.size,1] #GFP/FSC
}
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## [1] "----------------------"4.2 Overview of data distributions
par(mar=c(8.1,4.1,4.1,2.1)) #create more space at lower margin
###GLUTAMINE###
boxplot(comparison.FSC, names=sampleNames(filterData), notch = TRUE, col = "gray", ylab="FSC", cex.axis=0.5,las=2, outline=F)
abline(h=haploid.fsc, lty=2, col=2)
abline(h=diploid.fsc, lty=2, col=3)
boxplot(comparison.FL1, names=sampleNames(filterData), notch = TRUE, col = "lightgreen", ylab="FL1", cex.axis=0.5,las=2, outline=F)## Warning in bxp(list(stats = structure(c(0, 206, 788, 1404, 3198, 0,
## 2729.5, : some notches went outside hinges ('box'): maybe set notch=FALSEabline(h=gfp.bg ,lty=2, lwd=3, col="yellow")
abline(h=gfp.wt, lty = 2, lwd=3, col="green")
boxplot(comparison.FL1NormFsc, names=sampleNames(filterData), notch = TRUE, col = "green", ylab="FL1/FSC", cex.axis=0.5,las=2, outline=F)## Warning in bxp(list(stats = structure(c(0, 0.000821075818464355,
## 0.00342609757769691, : some notches went outside hinges ('box'): maybe set
## notch=FALSEabline(h=gfp.norm, lty=2, lwd=3, col="blue")
par(mar=c(5.1,4.1,4.1,2.1)) #reset margins to default
#generate summary tables containing all the recorded statistics
print(summary.stats)## FSC_median FSC_mean FSC_sd FL1_median FL1_mean
## DGY#1_T0_A01 286069.5 338395.1 202952.7 1053.0 1326.8248
## DGY#620_T0_B01 276963.5 323023.2 195938.5 25110.5 31530.7023
## DGY#500_T0_C01 275628.5 323081.7 187203.9 35736.0 40557.2902
## DGY#1315_T0_D01 246890.0 279174.7 149271.6 28087.5 31345.0683
## DGY#1657_T0_E01 336104.0 403954.2 264931.3 2019.0 2397.4707
## DGY#2076_T0_F01 314826.0 353802.0 177720.1 21248.5 21072.0111
## DGY#2071_T0_G01 279423.5 323524.4 177714.4 36840.0 41064.8500
## DGY#2150_T0_H01 251307.0 283052.5 148036.6 23627.0 26567.4611
## DGY#2084_T0_A02 281849.0 323773.7 177328.2 34306.0 39152.4104
## DGY#2086_T0_B02 260065.5 293428.6 156555.8 29825.0 32527.7721
## DGY#2089_T0_C02 273487.0 315184.1 174301.7 47553.0 55393.0917
## DGY#2090_T0_D02 249518.0 280448.9 145320.7 27325.0 29878.8603
## DGY#1972_T0_E02 277918.5 322613.7 186408.1 54593.0 66021.6561
## DGY#2135_T0_F02 294965.0 330878.6 164945.3 44552.0 45340.0831
## DGY#2143_T0_G02 370304.0 401672.4 174386.7 52785.5 56034.5684
## DGY#2144_T0_H02 251396.5 284639.0 148760.6 33563.0 37348.0104
## DGY#1657_T0_A03 274580.0 322870.0 190171.9 30662.0 35864.9884
## DGY#2076_T0_B03 268482.0 303448.0 155610.7 39086.0 40734.3861
## DGY#2071_T0_C03 283787.0 328838.8 191243.8 28918.0 34135.3840
## DGY#2150_T0_D03 293332.0 335255.2 180697.1 33505.0 37100.2725
## DGY#2084_T0_E03 271806.5 312396.0 170158.0 33569.0 36766.2386
## DGY#2086_T0_F03 245007.0 277603.0 150392.9 25838.0 28689.2879
## DGY#2089_T0_G03 307392.5 345657.9 171819.8 24262.0 24432.4467
## DGY#2090_T0_H03 328830.0 363174.2 176699.0 16352.0 17361.0232
## DGY#1972_T0_A04 277959.0 322452.1 181715.9 60144.5 65360.3796
## DGY#2135_T0_B04 250567.5 281011.7 142306.3 29986.0 32584.6051
## DGY#2143_T0_C04 269001.5 301760.0 156362.4 18785.5 25196.2007
## DGY#2144_T0_D04 282183.5 318999.6 166915.3 25360.0 29136.3335
## DGY#2084_T0_E04 383007.0 418765.5 188342.2 55531.0 59831.3762
## DGY#2086_T0_F04 262933.5 296234.3 150885.2 34928.0 35779.5486
## DGY#2089_T0_G04 304476.5 339413.0 170188.4 36534.5 38416.3333
## DGY#2090_T0_H04 324932.0 363071.7 177867.1 37919.5 39253.4553
## DGY#1_T6_A01 244133.5 280377.4 163531.4 656.0 858.1640
## DGY#620_T6_B01 247903.5 292283.7 184550.5 35633.0 41100.6865
## DGY#500_T6_C01 266626.5 314920.1 198768.4 40208.0 46466.1319
## DGY#1315_T6_D01 247780.0 293466.0 210285.5 33158.0 38317.9107
## DGY#1657_T6_E01 332086.5 419206.2 311665.3 1546.0 3700.6894
## DGY#2076_T6_F01 289955.0 334176.1 202557.3 22914.0 24112.2127
## DGY#2071_T6_G01 266642.0 312474.4 196585.1 37264.0 42997.9004
## DGY#2150_T6_H01 235559.0 287940.7 246468.5 22330.0 28017.8938
## DGY#2084_T6_A02 246850.0 281536.8 149869.1 42462.0 46026.5048
## DGY#2086_T6_B02 235061.5 268704.7 156166.0 32788.0 36114.8986
## DGY#2089_T6_C02 260985.5 308942.6 200540.4 69541.5 80056.1155
## DGY#2090_T6_D02 250997.5 299253.5 228005.7 32838.0 38099.4745
## DGY#1972_T6_E02 250423.5 286149.8 155103.7 75573.5 82915.8472
## DGY#2135_T6_F02 266748.5 301917.9 155282.5 45035.5 47534.3168
## DGY#2143_T6_G02 291404.0 325900.4 169992.4 49172.5 55158.6564
## DGY#2144_T6_H02 248349.0 297053.4 231692.3 28448.5 33399.9882
## DGY#1657_T6_A03 257626.0 299666.7 176537.6 39329.0 44099.8645
## DGY#2076_T6_B03 246544.0 283453.8 160838.1 42055.0 45780.1719
## DGY#2071_T6_C03 265835.5 311209.0 193688.2 35945.5 41473.5076
## DGY#2150_T6_D03 277546.0 323333.3 186274.8 44192.0 50414.9791
## DGY#2084_T6_E03 255897.5 294186.3 158740.5 44225.0 48020.9518
## DGY#2086_T6_F03 236171.0 273395.5 159829.5 34512.0 39188.0689
## DGY#2089_T6_G03 300379.5 348993.2 219515.1 25114.0 27845.3578
## DGY#2090_T6_H03 329374.0 384145.3 279032.1 21110.0 23957.6665
## DGY#1972_T6_A04 261528.0 303676.2 184247.7 66790.5 75459.6013
## DGY#2135_T6_B04 239443.0 270197.5 140886.2 40291.0 42597.1342
## DGY#2143_T6_C04 255264.5 303795.5 230749.4 32798.0 38672.6200
## DGY#2144_T6_D04 274551.0 329649.2 251916.4 34728.0 42032.8326
## DGY#2084_T6_E04 310037.5 339444.3 176195.7 53305.0 58392.0615
## DGY#2086_T6_F04 263793.0 303430.8 173735.0 41433.0 45236.3356
## DGY#2089_T6_G04 300360.5 336133.1 170890.0 43428.5 47796.8650
## DGY#2090_T6_H04 294025.5 334402.0 189900.1 41376.5 45893.0443
## DGY#1_T7_A05 257257.0 298587.3 168819.2 1014.0 1447.5981
## DGY#620_T7_B05 245869.5 286553.6 168093.9 32623.5 37379.2748
## DGY#500_T7_C05 256727.5 297826.6 167075.8 40815.5 45542.7589
## DGY#1315_T7_D05 249749.5 284403.5 152448.7 34420.0 37063.6849
## DGY#1657_T7_E05 350916.0 429735.3 285443.6 2488.0 3275.3192
## DGY#2076_T7_F05 291383.0 324808.6 159674.4 23009.0 23913.3453
## DGY#2071_T7_G05 243137.5 280652.2 150475.4 38110.0 42710.6164
## DGY#2150_T7_H05 236201.0 267469.5 142268.1 26291.5 28780.7118
## DGY#2084_T7_A06 247339.5 280881.7 140737.8 41924.0 45135.6887
## DGY#2086_T7_B06 233099.0 261140.1 128364.9 32519.0 34494.2510
## DGY#2089_T7_C06 238728.0 273613.5 143171.3 67002.5 72870.6826
## DGY#2090_T7_D06 225495.5 253454.6 126305.9 33174.0 35097.2521
## DGY#1972_T7_E06 251129.0 285759.8 146239.6 72046.5 77118.7834
## DGY#2135_T7_F06 263561.5 297758.2 147247.9 43417.0 45155.8861
## DGY#2143_T7_G06 291327.0 322568.4 179874.8 37764.0 42496.2400
## DGY#2144_T7_H06 231525.5 266010.6 147805.2 28036.0 31153.0950
## DGY#1657_T7_A07 252201.5 287599.2 146467.1 37196.0 39666.8984
## DGY#2076_T7_B07 231013.5 260982.4 128326.4 42202.0 44359.4572
## DGY#2071_T7_C07 251463.5 286311.1 150068.8 35269.5 38646.1415
## DGY#2150_T7_D07 253081.0 295371.2 163006.3 39278.0 44341.8998
## DGY#2084_T7_E07 242318.0 277221.1 140935.3 41842.0 44862.8535
## DGY#2086_T7_F07 226643.0 256176.6 127770.1 33844.0 35987.4049
## DGY#2089_T7_G07 285366.0 318821.5 157836.9 23588.0 24253.8257
## DGY#2090_T7_H07 312037.0 347557.7 174864.7 19628.0 20820.4451
## DGY#1972_T7_A08 264865.0 304601.4 172373.8 62984.5 73576.0169
## DGY#2135_T7_B08 224380.0 255165.7 131278.2 38043.0 39840.7509
## DGY#2143_T7_C08 241255.5 270765.7 134364.1 29036.0 31068.0601
## DGY#2144_T7_D08 281309.0 315958.8 159724.1 35118.0 40382.6685
## DGY#2084_T7_E08 305516.0 336440.5 154720.9 54558.5 58892.7220
## DGY#2086_T7_F08 243023.0 277877.0 144844.5 40854.0 43080.4473
## DGY#2089_T7_G08 266206.5 297895.5 144147.3 39373.0 41945.6955
## DGY#2090_T7_H08 280810.5 317552.2 160367.6 40320.0 43390.3856
## DGY#1_T8_A01 206220.5 247956.5 162841.1 980.0 1473.1635
## DGY#500_T8_B01 189294.0 228476.1 144186.3 41816.0 49309.8942
## DGY#1315_T8_C01 192133.5 232753.3 148617.5 75603.5 91176.1577
## DGY#1657_T8_D01 199102.5 238460.9 150071.3 36369.5 42741.5134
## DGY#2084_T8_E01 188893.0 232274.2 156412.1 36362.0 45223.8106
## DGY#2144_T8_F01 182969.5 222366.4 148387.9 38486.0 45215.1619
## DGY#2150_T8_G01 236694.0 272129.9 144957.6 49719.0 58231.7125
## DGY#2135_T8_H01 176024.5 209267.7 128731.9 29295.0 34890.0606
## DGY#1_TNA_A02 399510.0 461035.4 243567.1 2341.0 2808.9145
## DGY#620_TNA_B02 580309.5 695257.7 386428.8 155515.0 190913.7025
## DGY#500_TNA_C02 493668.0 561730.8 286733.6 3433.0 4035.7177
## DGY#1315_TNA_D02 748798.5 847505.6 415567.6 97815.5 111075.3992
## DGY#1657_TNA_E02 402765.0 476289.0 264731.4 119218.5 146400.0571
## DGY#2071_TNA_F02 519366.5 591445.6 301445.2 139264.0 159929.7569
## DGY#2076_TNA_G02 483620.0 543772.4 272987.3 251939.0 291355.7743
## DGY#2150_TNA_H02 853326.0 1067037.3 797932.2 248309.0 332831.6809
## DGY#2084_TNA_A03 462639.0 526999.9 261048.9 123386.0 145924.3269
## DGY#2086_TNA_B03 426943.5 474388.0 236152.5 114938.0 130875.2155
## DGY#2089_TNA_C03 448285.0 508792.5 261292.9 157358.5 185326.6188
## DGY#2090_TNA_D03 523477.0 603437.8 325068.2 120571.0 138843.8656
## DGY#1972_TNA_E03 438611.0 496463.5 237836.4 122443.0 142020.6166
## DGY#2135_TNA_F03 447898.5 514773.0 268028.7 115311.0 133507.7088
## DGY#2143_TNA_G03 476463.0 537096.1 261332.4 119998.0 139809.7426
## DGY#2144_TNA_H03 435236.5 498741.0 247781.7 130643.0 148315.7530
## DGY#1_T8_A04 304911.5 337880.6 165355.3 548.0 851.3206
## DGY#620_T8_B04 245836.5 277256.0 145997.1 454.5 1284.2966
## DGY#500_T8_C04 223354.5 258796.8 143537.5 33856.0 37854.6607
## DGY#1315_T8_D04 180119.0 206517.8 113340.2 25405.0 27357.5148
## DGY#1657_T8_E04 448121.0 528751.2 314455.3 1154.0 1482.6459
## DGY#2076_T8_F04 232615.0 260981.6 132630.5 12427.5 14030.7150
## DGY#2071_T8_G04 227594.5 259261.6 138893.1 31195.0 35105.4669
## DGY#2150_T8_H04 176050.0 201846.5 109905.6 21460.0 23598.6420
## DGY#2084_T8_A05 210868.0 246227.8 139979.5 31828.0 34899.6731
## DGY#2086_T8_B05 198239.0 223500.2 117430.0 20480.0 24509.5026
## DGY#2089_T8_C05 216763.5 250695.5 142093.2 30287.0 40870.1636
## DGY#2090_T8_D05 172639.5 195058.8 100332.8 26477.5 28224.9590
## DGY#1972_T8_E05 218664.5 255018.8 144950.1 56839.0 63857.7865
## DGY#2135_T8_F05 216435.0 247520.6 129521.7 37153.0 39217.4567
## DGY#2143_T8_G05 247708.0 276134.1 131841.3 40037.5 43483.9397
## DGY#2144_T8_H05 182203.5 209003.3 114522.8 20954.0 22882.6568
## DGY#1657_T8_A06 216189.0 254173.7 149134.6 31979.0 35655.1754
## DGY#2076_T8_B06 191357.0 221239.9 120457.1 35149.0 38455.5180
## DGY#2071_T8_C06 206408.0 239446.4 133577.5 30377.0 33967.9344
## DGY#2150_T8_D06 198383.0 232175.3 132007.9 32402.0 37020.1241
## DGY#2084_T8_E06 216416.0 252490.0 141744.3 36153.0 39398.6839
## DGY#2086_T8_F06 189007.0 214938.3 112057.8 28442.0 30938.7702
## DGY#2089_T8_G06 228566.5 256041.6 128528.5 19045.0 19447.3107
## DGY#2090_T8_H06 246120.5 277511.6 151264.8 16003.0 17199.5961
## DGY#1972_T8_A07 210214.5 246999.4 140680.5 55378.5 61941.3607
## DGY#2135_T8_B07 188992.5 215328.8 112874.1 30202.5 31697.8350
## DGY#2143_T8_C07 205149.0 232099.2 122250.1 27903.0 31229.6970
## DGY#2144_T8_D07 204896.5 235216.4 125754.7 27465.0 31015.7121
## DGY#2084_T8_E07 249025.5 278163.8 135422.6 42929.5 46677.0004
## DGY#2086_T8_F07 216285.5 250201.1 138501.9 34429.0 37390.3851
## DGY#2089_T8_G07 207132.0 235010.2 120261.2 31054.0 33119.2135
## DGY#2090_T8_H07 217163.0 247878.2 128732.3 31023.0 33393.8382
## DGY#1_T11_A01 301539.0 342230.0 185607.2 941.0 1272.4102
## DGY#620_T11_B01 273926.0 314752.2 190656.4 1106.0 10165.8562
## DGY#500_T11_C01 319644.0 365900.9 212678.6 32060.0 35531.0544
## DGY#1315_T11_D01 302425.0 352765.3 223637.3 33996.0 38788.5918
## DGY#1657_T11_E01 363916.0 424048.6 238323.3 899.0 1336.7150
## DGY#2076_T11_F01 324887.0 367372.7 201652.2 22055.5 22303.0238
## DGY#2071_T11_G01 291324.0 340166.3 210930.5 31485.5 35869.9249
## DGY#2150_T11_H01 265414.5 299537.1 184867.9 2254.0 16363.4228
## DGY#2084_T11_A02 291884.0 338826.3 195751.3 36072.0 39598.9766
## DGY#2086_T11_B02 284562.0 326841.3 188424.9 31750.0 35569.1699
## DGY#2089_T11_C02 315427.0 365082.5 230521.8 42010.5 56131.1472
## DGY#2090_T11_D02 276184.5 319604.6 210142.7 31720.0 35988.0090
## DGY#1972_T11_E02 297719.0 347036.5 201708.7 74226.0 83470.1579
## DGY#2135_T11_F02 322571.5 374619.4 211857.5 44584.0 49918.8724
## DGY#2143_T11_G02 307692.5 346115.0 178226.3 32433.5 37864.4329
## DGY#2144_T11_H02 268287.5 313792.6 243322.3 3168.0 19620.8465
## DGY#1657_T11_A03 326570.0 372238.1 211759.1 1926.0 21017.1679
## DGY#2076_T11_B03 287495.5 326457.2 174970.8 1864.0 21085.5373
## DGY#2071_T11_C03 287704.5 338830.2 223034.8 34117.0 40550.5564
## DGY#2150_T11_D03 276215.0 326047.2 218757.8 3356.0 25700.9628
## DGY#2084_T11_E03 303431.0 353560.4 202770.4 35176.5 38321.3654
## DGY#2086_T11_F03 282041.5 310315.8 153224.3 668.0 3657.2865
## DGY#2089_T11_G03 324542.5 362990.0 209418.8 1146.0 5987.7922
## DGY#2090_T11_H03 349416.0 393266.7 247538.0 2347.0 11007.4557
## DGY#1972_T11_A04 295802.0 350571.7 212427.4 64531.0 74866.2055
## DGY#2135_T11_B04 277825.5 320468.7 197879.3 34985.0 38084.0717
## DGY#2143_T11_C04 278643.5 318505.1 222636.4 1686.0 15620.9057
## DGY#2144_T11_D04 285043.0 327489.1 202469.8 3026.0 22344.2574
## DGY#2084_T11_E04 310681.5 351226.7 194103.6 40894.0 45268.6767
## DGY#2086_T11_F04 288016.5 338102.9 210006.2 34657.0 39621.9086
## DGY#2089_T11_G04 300909.5 345823.0 222010.5 31553.0 34679.5954
## DGY#2090_T11_H04 305960.0 348605.6 220727.2 9101.5 26747.9960
## DGY#1_T11_A05 260323.0 301251.7 176941.5 1041.0 1305.7604
## DGY#620_T11_B05 224048.5 267491.5 173932.0 38126.0 47618.3008
## DGY#500_T11_C05 262132.0 300237.6 166220.1 45116.0 51429.7901
## DGY#1315_T11_D05 316849.5 352902.0 200237.5 45820.0 55724.3283
## DGY#1657_T11_E05 263436.0 323459.5 217617.3 1719.0 2019.5590
## DGY#2076_T11_F05 248375.5 280420.8 148009.3 24906.0 27198.6079
## DGY#2071_T11_G05 238579.5 275783.0 152967.3 40307.5 46570.7355
## DGY#2150_T11_H05 219778.0 251341.3 150041.5 32074.0 37337.1485
## DGY#2084_T11_A06 244436.0 283437.0 162300.3 43898.0 50093.3363
## DGY#2086_T11_B06 226520.5 263838.9 167519.3 38487.5 45310.1837
## DGY#2089_T11_C06 233742.5 271802.3 154394.8 73285.5 85473.0927
## DGY#2090_T11_D06 214780.5 242244.4 130281.6 37441.0 42852.9314
## DGY#1972_T11_E06 236894.0 275221.4 163988.6 85717.5 100393.8856
## DGY#2135_T11_F06 251802.5 290954.6 166111.4 46663.0 54362.1370
## DGY#2143_T11_G06 252014.0 285133.0 146185.2 51095.0 58802.6030
## DGY#2144_T11_H06 217588.0 247030.4 140376.8 32074.0 37070.1415
## DGY#1657_T11_A07 260541.0 308099.5 185523.2 45063.0 52481.0899
## DGY#2076_T11_B07 220083.5 250764.4 135197.1 45067.0 51489.7429
## DGY#2071_T11_C07 232504.0 271159.5 160174.8 39703.0 47370.2411
## DGY#2150_T11_D07 224908.0 260786.2 147784.2 39003.0 45824.7284
## DGY#2084_T11_E07 257975.0 310927.4 197602.9 45684.0 52005.3021
## DGY#2086_T11_F07 219594.5 249050.6 131819.1 35693.0 40428.8215
## DGY#2089_T11_G07 255342.0 286316.5 146228.3 24775.0 26856.8188
## DGY#2090_T11_H07 278416.0 312054.9 161318.8 22483.0 25556.2092
## DGY#1972_T11_A08 243094.5 289365.9 189305.4 69036.5 78239.5864
## DGY#2135_T11_B08 208955.5 236231.5 124395.5 40668.0 45997.9806
## DGY#2143_T11_C08 230150.5 265261.4 146779.3 37627.0 44452.4612
## DGY#2144_T11_D08 238702.0 272631.0 149070.5 37390.0 44125.1453
## DGY#2084_T11_E08 259124.0 294078.7 156259.7 50106.0 58324.4474
## DGY#2086_T11_F08 236269.0 271880.0 156828.3 47559.0 56021.7120
## DGY#2089_T11_G08 241486.5 275846.2 145856.0 40479.0 46391.5308
## DGY#2090_T11_H08 248372.0 285839.9 153902.0 41776.0 48895.7104
## DGY#1_T13_A01 320736.0 371358.5 214163.0 1224.0 1505.3049
## DGY#620_T13_B01 339322.5 400610.7 233992.2 64454.0 78470.1068
## DGY#500_T13_C01 354913.0 413904.7 243729.9 72614.0 83367.7363
## DGY#1315_T13_D01 340574.5 391719.5 209043.7 71608.5 82010.2414
## DGY#1657_T13_E01 446149.5 538477.8 330693.2 2421.0 2862.6134
## DGY#2076_T13_F01 360021.0 398252.0 189062.5 36894.0 39850.7031
## DGY#2071_T13_G01 310710.5 363219.2 207836.5 61140.0 70289.2738
## DGY#2150_T13_H01 327731.0 375960.7 196058.2 56923.0 64588.2395
## DGY#2084_T13_A02 348549.5 419759.0 272599.3 77127.0 92871.2590
## DGY#2086_T13_B02 341996.0 390858.3 200280.7 63532.0 72592.7488
## DGY#2089_T13_C02 317014.0 367536.2 204517.4 103944.0 119733.1931
## DGY#2090_T13_D02 336292.5 382738.9 199899.5 66666.0 75382.6054
## DGY#1972_T13_E02 369088.5 436844.5 264537.3 151075.0 179062.2639
## DGY#2135_T13_F02 883361.5 1006565.2 556648.6 194934.5 236940.1493
## DGY#2143_T13_G02 423415.0 481848.3 236437.9 94771.5 108357.5767
## DGY#2144_T13_H02 332386.0 377481.0 192606.5 60007.0 67468.0367
## DGY#1657_T13_A03 341654.0 398355.8 229577.2 63140.0 72663.8614
## DGY#2076_T13_B03 383212.5 452312.4 270466.3 96078.5 114745.7356
## DGY#2071_T13_C03 319015.0 379504.3 236547.1 58200.0 72565.5117
## DGY#2150_T13_D03 316016.5 379263.2 232245.3 57670.0 71597.2379
## DGY#2084_T13_E03 440993.0 531838.4 341693.9 101270.0 122200.8349
## DGY#2086_T13_F03 332050.0 380676.6 204384.0 62380.0 71207.7850
## DGY#2089_T13_G03 340302.0 380949.0 186971.3 33495.0 36632.4315
## DGY#2090_T13_H03 336119.5 373507.0 190454.1 26402.0 30132.1069
## DGY#1972_T13_A04 341251.0 394331.9 220162.9 121628.0 139560.8787
## DGY#2135_T13_B04 348159.5 398619.4 217594.4 81239.0 92830.9405
## DGY#2143_T13_C04 344522.0 385005.4 195088.1 53162.0 62577.8629
## DGY#2144_T13_D04 324799.5 376701.6 209743.2 50902.5 62058.3242
## DGY#2084_T13_E04 434673.0 498262.6 262795.8 111697.0 129447.8989
## DGY#2086_T13_F04 494457.5 575382.8 330230.8 121416.0 150426.5176
## DGY#2089_T13_G04 511280.5 589546.4 311937.9 93486.0 112112.7456
## DGY#2090_T13_H04 383075.0 437693.3 227215.1 58441.0 69368.1712
## DGY#1_T13_A05 327541.5 383565.3 220881.1 1759.0 2056.0600
## DGY#620_T13_B05 333196.0 402618.3 244815.4 68169.0 82206.4520
## DGY#500_T13_C05 405874.5 473614.8 283508.4 89616.0 100784.7145
## DGY#1315_T13_D05 372879.0 434004.2 245902.2 80891.0 92739.7255
## DGY#1657_T13_E05 509715.0 596742.3 322807.1 3578.0 4065.2532
## DGY#2076_T13_F05 386374.5 427720.8 193931.0 44549.5 47800.4670
## DGY#2071_T13_G05 364001.0 426485.2 242321.2 75610.0 86412.7241
## DGY#2150_T13_H05 366127.0 422243.0 228217.3 64052.0 73098.8027
## DGY#2084_T13_A06 445563.5 531519.1 320786.1 110555.0 127638.8459
## DGY#2086_T13_B06 320422.0 369230.0 190002.8 68588.0 78505.1912
## DGY#2089_T13_C06 350944.0 414299.3 239025.0 133440.0 154416.8568
## DGY#2090_T13_D06 367042.5 422120.6 222607.4 84287.0 94288.2711
## DGY#1972_T13_E06 408504.0 485374.8 290592.2 196670.5 227889.4232
## DGY#2135_T13_F06 1022997.5 1135103.1 683368.3 240587.5 276962.3391
## DGY#2143_T13_G06 500079.0 573008.2 291209.0 122368.0 139171.8239
## DGY#2144_T13_H06 328499.5 378707.9 207913.2 69688.5 78688.4247
## DGY#1657_T13_A07 327315.5 386821.5 223121.2 72085.5 81875.0364
## DGY#2076_T13_B07 445754.0 528852.7 310830.3 120134.0 140947.9585
## DGY#2071_T13_C07 358771.5 443933.2 292363.9 73500.5 90992.5680
## DGY#2150_T13_D07 335604.0 413792.9 268177.2 62816.0 74217.2784
## DGY#2084_T13_E07 518904.5 630103.6 398674.9 130644.5 156093.4371
## DGY#2086_T13_F07 364035.5 421310.0 223805.4 75681.0 85008.6805
## DGY#2089_T13_G07 343879.0 385469.5 195027.3 38813.0 42522.3534
## DGY#2090_T13_H07 339332.5 379940.0 198664.2 28069.0 31968.4406
## DGY#1972_T13_A08 359410.0 422399.3 241424.3 140280.0 160688.4396
## DGY#2135_T13_B08 380159.0 442162.9 245339.8 99884.0 113512.5556
## DGY#2143_T13_C08 371702.0 425720.3 231620.9 59476.0 70229.0657
## DGY#2144_T13_D08 320674.0 377246.5 219227.4 53751.0 64997.3326
## DGY#2084_T13_E08 487792.5 562907.1 294610.1 134059.5 152028.3333
## DGY#2086_T13_F08 522181.0 618255.1 365837.1 144648.5 176319.3428
## DGY#2089_T13_G08 575261.0 679466.4 393522.9 113074.5 137386.2390
## DGY#2090_T13_H08 400210.0 466223.3 260960.4 63499.0 75767.5931
## DGY#1_T14_A01 353009.0 412362.0 250088.0 1343.0 1844.8968
## DGY#620_T14_B01 285499.0 371723.7 281424.6 66931.0 88321.3732
## DGY#500_T14_C01 349025.0 424338.7 290689.3 79706.5 91004.3475
## DGY#1315_T14_D01 370619.0 424635.7 231515.7 2357.0 3239.6658
## DGY#1657_T14_E01 404041.0 527275.9 369864.8 3165.0 3774.7660
## DGY#2076_T14_F01 284383.5 320781.7 157379.1 35933.0 38636.1033
## DGY#2071_T14_G01 319331.5 384302.0 238520.6 76339.5 88780.4950
## DGY#2150_T14_H01 292561.5 346416.1 208733.6 54606.0 63037.7606
## DGY#2084_T14_A02 447088.5 577351.0 430546.9 124780.5 159956.6818
## DGY#2086_T14_B02 283175.0 332390.0 186583.9 62618.0 72540.4183
## DGY#2089_T14_C02 312991.0 374821.9 226470.8 130100.5 151351.1874
## DGY#2090_T14_D02 297854.5 352884.4 211717.8 72990.5 84958.5198
## DGY#1972_T14_E02 420185.5 537923.1 397718.2 209530.5 271004.2992
## DGY#2135_T14_F02 1191936.5 1571713.8 1365418.0 208411.0 477519.1391
## DGY#2143_T14_G02 489472.0 571357.1 304903.9 129577.0 149908.5826
## DGY#2144_T14_H02 300542.0 355602.2 208204.2 63672.0 73314.0311
## DGY#1657_T14_A03 351860.0 424793.0 265596.6 71089.5 81990.3559
## DGY#2076_T14_B03 445918.5 539653.7 342139.0 130151.0 159873.4378
## DGY#2071_T14_C03 302121.5 383589.3 267693.3 70534.0 89326.9861
## DGY#2150_T14_D03 295915.5 369530.3 253792.6 66663.5 81942.7136
## DGY#2084_T14_E03 386946.5 497668.0 366523.4 83150.0 109852.6487
## DGY#2086_T14_F03 345348.5 417769.3 262750.5 80563.0 95595.3179
## DGY#2089_T14_G03 268752.5 303182.9 152905.3 31520.0 32165.2214
## DGY#2090_T14_H03 279617.0 317739.7 166894.2 27519.0 30900.6371
## DGY#1972_T14_A04 351197.0 435904.2 292195.0 149668.0 184423.0421
## DGY#2135_T14_B04 350867.0 425319.8 269795.5 99432.0 118799.0447
## DGY#2143_T14_C04 262105.5 305753.0 170120.5 55185.0 64444.0600
## DGY#2144_T14_D04 268883.5 318091.1 189202.6 54515.0 66156.2658
## DGY#2084_T14_E04 600223.0 732739.6 448959.1 170754.5 214639.7209
## DGY#2086_T14_F04 528885.5 652440.1 413667.0 143426.0 193473.1773
## DGY#2089_T14_G04 571698.5 697648.4 445099.9 128351.0 161277.1856
## DGY#2090_T14_H04 358404.5 428338.1 251053.0 73641.0 87406.0647
## DGY#1_T15_A01 328107.0 396835.6 264129.4 1559.0 1944.4191
## DGY#620_T15_B01 359306.5 459604.9 325549.9 1632.0 20763.1100
## DGY#500_T15_C01 443759.5 523975.0 330137.9 1897.0 6152.5628
## DGY#1315_T15_D01 345741.5 424981.6 281921.5 85593.0 102846.5046
## DGY#1657_T15_E01 316955.5 397117.6 275593.1 2327.0 2727.7937
## DGY#2076_T15_F01 269295.0 305142.0 158313.1 32054.0 33635.5836
## DGY#2071_T15_G01 364152.0 416967.5 260608.1 4252.0 30768.4918
## DGY#2150_T15_H01 371093.0 433033.2 252178.2 1442.0 3700.8314
## DGY#2084_T15_A02 394356.5 533064.6 433371.7 108634.0 143758.7896
## DGY#2086_T15_B02 257603.0 306633.0 188299.1 57399.0 68202.2498
## DGY#2089_T15_C02 343730.5 417317.1 278499.9 122554.0 145445.1049
## DGY#2090_T15_D02 325563.0 399433.3 264866.3 72014.0 87834.6540
## DGY#1972_T15_E02 380168.5 503506.0 397898.8 199751.0 261618.4801
## DGY#2135_T15_F02 678218.0 785035.2 641146.6 30830.0 112385.6969
## DGY#2143_T15_G02 427587.0 463224.7 323721.1 3749.0 8259.2421
## DGY#2144_T15_H02 347524.5 419990.2 272587.0 2381.0 30796.9915
## DGY#1657_T15_A03 356859.5 428580.9 271824.0 2512.0 30257.4290
## DGY#2076_T15_B03 444864.5 570979.0 418966.8 117792.0 156814.9225
## DGY#2071_T15_C03 332488.5 441124.1 343103.9 74745.0 99250.8257
## DGY#2150_T15_D03 364558.0 504426.2 415333.7 54495.5 85321.0277
## DGY#2084_T15_E03 387160.5 488607.7 348499.9 93847.5 115514.3329
## DGY#2086_T15_F03 369000.5 462496.3 321496.4 84414.0 104568.2710
## DGY#2089_T15_G03 337987.0 375195.6 180015.8 3452.0 14807.7853
## DGY#2090_T15_H03 298567.5 338057.0 183597.2 25847.0 28829.3978
## DGY#1972_T15_A04 337674.5 428659.0 310769.4 144115.0 181184.5459
## DGY#2135_T15_B04 361825.0 454451.5 317915.7 101506.5 126187.9814
## DGY#2143_T15_C04 306232.0 359911.7 213493.7 59295.5 70522.5332
## DGY#2144_T15_D04 364240.5 428998.3 268921.7 1361.0 9869.3932
## DGY#2084_T15_E04 848840.0 1101959.7 780840.7 229552.0 346726.4236
## DGY#2086_T15_F04 445102.0 546792.1 352785.2 110266.0 147920.2264
## DGY#2089_T15_G04 679914.5 855148.9 609069.8 7764.0 89350.0001
## DGY#2090_T15_H04 382433.0 481191.1 330074.3 71187.5 90663.3944
## DGY#1_T18_A01 338659.0 390834.4 226516.9 1479.0 1859.7271
## DGY#620_T18_B01 278936.5 355959.9 268114.7 55346.0 73154.1435
## DGY#500_T18_C01 315241.5 365360.2 220670.7 55634.0 62989.3943
## DGY#1315_T18_D01 269137.5 325895.6 217311.1 61228.0 74617.1091
## DGY#1657_T18_E01 295321.5 348694.7 191089.0 2017.0 2315.9148
## DGY#2076_T18_F01 280008.0 316944.4 169638.2 30703.0 33454.4928
## DGY#2071_T18_G01 361583.5 418053.8 285212.2 50111.0 60641.6857
## DGY#2150_T18_H01 260892.5 316405.7 220749.9 41120.0 48834.0017
## DGY#2084_T18_A02 298576.0 357659.7 225821.4 61306.0 72706.1052
## DGY#2086_T18_B02 258430.0 311575.1 197558.3 47228.0 57085.3222
## DGY#2089_T18_C02 297059.5 346070.7 199623.0 99646.5 112538.0409
## DGY#2090_T18_D02 256664.5 307214.9 189395.6 44264.0 54377.7214
## DGY#1972_T18_E02 310967.0 367848.7 220107.1 115562.0 137906.1097
## DGY#2135_T18_F02 250904.0 298860.9 199826.0 51593.0 59765.9061
## DGY#2143_T18_G02 320141.5 380399.0 235856.8 68086.0 80966.5794
## DGY#2144_T18_H02 262955.5 314541.3 196116.4 43859.0 53266.7220
## DGY#1657_T18_A03 283215.0 343121.6 220404.2 50712.0 61246.9513
## DGY#2076_T18_B03 298767.5 346571.3 185138.5 76811.5 91294.9883
## DGY#2071_T18_C03 275761.0 337702.2 228265.0 53384.0 67468.5453
## DGY#2150_T18_D03 303747.0 370300.3 244593.3 54552.5 68753.2041
## DGY#2084_T18_E03 318346.5 371807.6 204773.4 66487.0 76428.0727
## DGY#2086_T18_F03 292406.0 340811.2 209139.1 42851.0 49539.9803
## DGY#2089_T18_G03 272151.0 309532.4 169772.5 30040.0 33051.3400
## DGY#2090_T18_H03 299194.0 341080.3 188862.6 25952.0 30106.1715
## DGY#1972_T18_A04 295572.5 348515.5 207851.6 110305.5 126852.5119
## DGY#2135_T18_B04 283620.0 337911.9 215979.7 69848.0 85246.3998
## DGY#2143_T18_C04 272811.0 328590.3 204458.7 47558.0 57488.3393
## DGY#2144_T18_D04 271358.0 319583.6 188956.0 46754.0 56771.6096
## DGY#2084_T18_E04 286019.0 335784.8 200113.6 61575.5 72804.1300
## DGY#2086_T18_F04 275713.0 314478.2 157698.0 59802.0 68137.0890
## DGY#2089_T18_G04 279708.5 334515.2 215053.3 52600.0 64101.5802
## DGY#2090_T18_H04 283172.0 334117.8 193941.3 52854.5 62211.4420
## FL1_sd normalizedGFP_median normalizedGFP_mean
## DGY#1_T0_A01 1329.437 0.003386523 0.004422060
## DGY#620_T0_B01 38320.149 0.109751639 0.096211149
## DGY#500_T0_C01 36665.160 0.139421176 0.127584596
## DGY#1315_T0_D01 31674.607 0.138374566 0.114207332
## DGY#1657_T0_E01 2380.353 0.005571273 0.006901443
## DGY#2076_T0_F01 18217.693 0.069904544 0.066274304
## DGY#2071_T0_G01 35421.837 0.141534796 0.129049624
## DGY#2150_T0_H01 26254.701 0.113121028 0.094415072
## DGY#2084_T0_A02 38897.095 0.138842126 0.121891086
## DGY#2086_T0_B02 32041.291 0.133216231 0.113124281
## DGY#2089_T0_C02 62392.445 0.212734983 0.179867807
## DGY#2090_T0_D02 30057.722 0.134463751 0.108921396
## DGY#1972_T0_E02 75707.210 0.244457990 0.205259887
## DGY#2135_T0_F02 36207.808 0.152277046 0.142782355
## DGY#2143_T0_G02 49907.018 0.174338798 0.140486931
## DGY#2144_T0_H02 25820.141 0.137041778 0.134382466
## DGY#1657_T0_A03 37326.817 0.127215960 0.112287133
## DGY#2076_T0_B03 35808.919 0.157908518 0.138077359
## DGY#2071_T0_C03 38581.928 0.120557916 0.102965195
## DGY#2150_T0_D03 35113.725 0.126575799 0.111677233
## DGY#2084_T0_E03 36474.383 0.136093052 0.121087176
## DGY#2086_T0_F03 33375.304 0.118524894 0.104956488
## DGY#2089_T0_G03 16706.393 0.080389805 0.077645325
## DGY#2090_T0_H03 15304.269 0.056984121 0.050806901
## DGY#1972_T0_A04 68020.114 0.243707354 0.209966662
## DGY#2135_T0_B04 32753.834 0.140404612 0.118331355
## DGY#2143_T0_C04 28713.802 0.088402830 0.084338606
## DGY#2144_T0_D04 30005.802 0.109332321 0.091642246
## DGY#2084_T0_E04 51130.330 0.172370902 0.143149519
## DGY#2086_T0_F04 30738.932 0.140984703 0.125870067
## DGY#2089_T0_G04 32369.863 0.126098237 0.114403986
## DGY#2090_T0_H04 35661.756 0.124367929 0.110107801
## DGY#1_T6_A01 2141.311 0.002540858 0.003393648
## DGY#620_T6_B01 38790.641 0.150074168 0.141033597
## DGY#500_T6_C01 41493.781 0.152276809 0.149925688
## DGY#1315_T6_D01 39870.910 0.142258397 0.131889948
## DGY#1657_T6_E01 11240.825 0.004262691 0.011888285
## DGY#2076_T6_F01 22090.261 0.078588015 0.076517381
## DGY#2071_T6_G01 36609.267 0.140432024 0.138836650
## DGY#2150_T6_H01 39129.144 0.110471471 0.094483168
## DGY#2084_T6_A02 33082.077 0.171126076 0.168767979
## DGY#2086_T6_B02 31081.870 0.144994009 0.136306854
## DGY#2089_T6_C02 71157.175 0.269975062 0.260516921
## DGY#2090_T6_D02 44302.813 0.139831580 0.124173822
## DGY#1972_T6_E02 66666.246 0.307284781 0.295327764
## DGY#2135_T6_F02 36053.607 0.162581172 0.160592149
## DGY#2143_T6_G02 40029.432 0.180342297 0.170061950
## DGY#2144_T6_H02 37086.343 0.120366445 0.110846610
## DGY#1657_T6_A03 33869.138 0.152504065 0.151257578
## DGY#2076_T6_B03 36006.276 0.169283920 0.165542435
## DGY#2071_T6_C03 38609.628 0.138622178 0.132568794
## DGY#2150_T6_D03 39765.345 0.155977002 0.155963828
## DGY#2084_T6_E03 34914.765 0.168362546 0.169059534
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## DGY#1972_T15_E02 227099.806 0.517516487 0.562457753
## DGY#2135_T15_F02 219294.523 0.058507487 0.096512942
## DGY#2143_T15_G02 57814.737 0.009527773 0.015811559
## DGY#2144_T15_H02 64883.053 0.006803289 0.063813071
## DGY#1657_T15_A03 62941.686 0.007040145 0.061332578
## DGY#2076_T15_B03 165605.054 0.257217747 0.278925191
## DGY#2071_T15_C03 91764.016 0.224624791 0.233845145
## DGY#2150_T15_D03 116230.795 0.163900168 0.157301818
## DGY#2084_T15_E03 104076.726 0.237088807 0.248812095
## DGY#2086_T15_F03 80509.490 0.227831362 0.243217702
## DGY#2089_T15_G03 17862.598 0.010671135 0.044833101
## DGY#2090_T15_H03 17860.531 0.086466677 0.092738932
## DGY#1972_T15_A04 157577.952 0.417824530 0.450244356
## DGY#2135_T15_B04 97508.883 0.278750878 0.299850007
## DGY#2143_T15_C04 53169.185 0.189744064 0.204018238
## DGY#2144_T15_D04 44726.713 0.003628763 0.015915435
## DGY#2084_T15_E04 372390.192 0.278946006 0.283106479
## DGY#2086_T15_F04 154234.243 0.241176151 0.267540613
## DGY#2089_T15_G04 191545.095 0.012324704 0.070429474
## DGY#2090_T15_H04 73935.791 0.189320589 0.196610781
## DGY#1_T18_A01 4069.058 0.004131501 0.005423977
## DGY#620_T18_B01 69157.364 0.195722213 0.208424274
## DGY#500_T18_C01 41838.710 0.175349396 0.183312206
## DGY#1315_T18_D01 56988.242 0.218966888 0.245656450
## DGY#1657_T18_E01 2191.667 0.006239443 0.007093928
## DGY#2076_T18_F01 16661.644 0.108169809 0.116857491
## DGY#2071_T18_G01 53810.313 0.140293219 0.140646245
## DGY#2150_T18_H01 34691.256 0.156641529 0.163792186
## DGY#2084_T18_A02 49960.289 0.200501423 0.209151676
## DGY#2086_T18_B02 40178.363 0.179402380 0.190198203
## DGY#2089_T18_C02 75474.653 0.326438926 0.340535804
## DGY#2090_T18_D02 39769.117 0.166695558 0.183698709
## DGY#1972_T18_E02 93743.211 0.363614297 0.384315628
## DGY#2135_T18_F02 41760.552 0.200048919 0.208947674
## DGY#2143_T18_G02 60170.287 0.204538037 0.219758649
## DGY#2144_T18_H02 40423.480 0.163805097 0.175668113
## DGY#1657_T18_A03 44884.763 0.176715325 0.187873839
## DGY#2076_T18_B03 62807.574 0.234192873 0.271873322
## DGY#2071_T18_C03 58579.347 0.191475531 0.201499432
## DGY#2150_T18_D03 57763.707 0.176648668 0.185769510
## DGY#2084_T18_E03 48929.573 0.200539908 0.210443667
## DGY#2086_T18_F03 48063.656 0.154516501 0.140788137
## DGY#2089_T18_G03 15923.776 0.109300953 0.119263201
## DGY#2090_T18_H03 18035.668 0.086338918 0.094992215
## DGY#1972_T18_A04 83577.889 0.361461058 0.387853295
## DGY#2135_T18_B04 64181.765 0.231477892 0.266620459
## DGY#2143_T18_C04 42735.249 0.174572693 0.182960479
## DGY#2144_T18_D04 41392.537 0.168614470 0.183266252
## DGY#2084_T18_E04 49689.998 0.209673164 0.224204944
## DGY#2086_T18_F04 39648.059 0.203995700 0.221220496
## DGY#2089_T18_G04 49890.537 0.185047465 0.196787917
## DGY#2090_T18_H04 41395.826 0.182169467 0.193294892
## normalizedGFP_sd
## DGY#1_T0_A01 0.004588020
## DGY#620_T0_B01 0.079346755
## DGY#500_T0_C01 0.079909191
## DGY#1315_T0_D01 0.091745129
## DGY#1657_T0_E01 0.006536310
## DGY#2076_T0_F01 0.054639880
## DGY#2071_T0_G01 0.079369778
## DGY#2150_T0_H01 0.072637152
## DGY#2084_T0_A02 0.095972803
## DGY#2086_T0_B02 0.087973189
## DGY#2089_T0_C02 0.164553481
## DGY#2090_T0_D02 0.088780717
## DGY#1972_T0_E02 0.175335812
## DGY#2135_T0_F02 0.089944018
## DGY#2143_T0_G02 0.102795745
## DGY#2144_T0_H02 0.059457450
## DGY#1657_T0_A03 0.086820577
## DGY#2076_T0_B03 0.099180482
## DGY#2071_T0_C03 0.082694575
## DGY#2150_T0_D03 0.078853128
## DGY#2084_T0_E03 0.098665441
## DGY#2086_T0_F03 0.074492862
## DGY#2089_T0_G03 0.048904232
## DGY#2090_T0_H03 0.038952394
## DGY#1972_T0_A04 0.175427469
## DGY#2135_T0_B04 0.099840225
## DGY#2143_T0_C04 0.077231765
## DGY#2144_T0_D04 0.072997065
## DGY#2084_T0_E04 0.096455833
## DGY#2086_T0_F04 0.089762493
## DGY#2089_T0_G04 0.073370536
## DGY#2090_T0_H04 0.077326553
## DGY#1_T6_A01 0.004832343
## DGY#620_T6_B01 0.081863795
## DGY#500_T6_C01 0.081290491
## DGY#1315_T6_D01 0.079750590
## DGY#1657_T6_E01 0.037753157
## DGY#2076_T6_F01 0.054388711
## DGY#2071_T6_G01 0.070317150
## DGY#2150_T6_H01 0.071916871
## DGY#2084_T6_A02 0.091171801
## DGY#2086_T6_B02 0.081129063
## DGY#2089_T6_C02 0.143622687
## DGY#2090_T6_D02 0.082047418
## DGY#1972_T6_E02 0.170519111
## DGY#2135_T6_F02 0.093816881
## DGY#2143_T6_G02 0.083234894
## DGY#2144_T6_H02 0.066969403
## DGY#1657_T6_A03 0.077969543
## DGY#2076_T6_B03 0.094376733
## DGY#2071_T6_C03 0.076367407
## DGY#2150_T6_D03 0.075374869
## DGY#2084_T6_E03 0.094083289
## DGY#2086_T6_F03 0.060043369
## DGY#2089_T6_G03 0.049593633
## DGY#2090_T6_H03 0.041199691
## DGY#1972_T6_A04 0.132817194
## DGY#2135_T6_B04 0.093111180
## DGY#2143_T6_C04 0.079694741
## DGY#2144_T6_D04 0.075064838
## DGY#2084_T6_E04 0.083239105
## DGY#2086_T6_F04 0.082513000
## DGY#2089_T6_G04 0.065409884
## DGY#2090_T6_H04 0.070561666
## DGY#1_T7_A05 0.010519358
## DGY#620_T7_B05 0.081041380
## DGY#500_T7_C05 0.079336121
## DGY#1315_T7_D05 0.081727208
## DGY#1657_T7_E05 0.019415847
## DGY#2076_T7_F05 0.051311091
## DGY#2071_T7_G05 0.072541851
## DGY#2150_T7_H05 0.074462176
## DGY#2084_T7_A06 0.083790218
## DGY#2086_T7_B06 0.078231674
## DGY#2089_T7_C06 0.139626457
## DGY#2090_T7_D06 0.090102597
## DGY#1972_T7_E06 0.163640587
## DGY#2135_T7_F06 0.086208972
## DGY#2143_T7_G06 0.088688360
## DGY#2144_T7_H06 0.068761702
## DGY#1657_T7_A07 0.081565480
## DGY#2076_T7_B07 0.096099617
## DGY#2071_T7_C07 0.079167243
## DGY#2150_T7_D07 0.075040897
## DGY#2084_T7_E07 0.084590697
## DGY#2086_T7_F07 0.074765824
## DGY#2089_T7_G07 0.048019663
## DGY#2090_T7_H07 0.039508997
## DGY#1972_T7_A08 0.121708652
## DGY#2135_T7_B08 0.098656725
## DGY#2143_T7_C08 0.083850918
## DGY#2144_T7_D08 0.063041554
## DGY#2084_T7_E08 0.090202409
## DGY#2086_T7_F08 0.103653279
## DGY#2089_T7_G08 0.075367920
## DGY#2090_T7_H08 0.075630929
## DGY#1_T8_A01 0.008654383
## DGY#500_T8_B01 0.078517247
## DGY#1315_T8_C01 0.136001101
## DGY#1657_T8_D01 0.069226702
## DGY#2084_T8_E01 0.064440280
## DGY#2144_T8_F01 0.092320929
## DGY#2150_T8_G01 0.060297512
## DGY#2135_T8_H01 0.053913335
## DGY#1_TNA_A02 0.010868409
## DGY#620_TNA_B02 0.075962557
## DGY#500_TNA_C02 0.004404866
## DGY#1315_TNA_D02 0.042270857
## DGY#1657_TNA_E02 0.072355072
## DGY#2071_TNA_F02 0.068922619
## DGY#2076_TNA_G02 0.150562682
## DGY#2150_TNA_H02 0.121812441
## DGY#2084_TNA_A03 0.070429268
## DGY#2086_TNA_B03 0.068848608
## DGY#2089_TNA_C03 0.099283407
## DGY#2090_TNA_D03 0.061570567
## DGY#1972_TNA_E03 0.074174716
## DGY#2135_TNA_F03 0.065883832
## DGY#2143_TNA_G03 0.070442325
## DGY#2144_TNA_H03 0.073148686
## DGY#1_T8_A04 0.004257522
## DGY#620_T8_B04 0.012110486
## DGY#500_T8_C04 0.079042480
## DGY#1315_T8_D04 0.092616979
## DGY#1657_T8_E04 0.004145039
## DGY#2076_T8_F04 0.056045167
## DGY#2071_T8_G04 0.062376265
## DGY#2150_T8_H04 0.073568848
## DGY#2084_T8_A05 0.095915470
## DGY#2086_T8_B05 0.104394875
## DGY#2089_T8_C05 0.162871747
## DGY#2090_T8_D05 0.089300047
## DGY#1972_T8_E05 0.178202366
## DGY#2135_T8_F05 0.091545102
## DGY#2143_T8_G05 0.085914002
## DGY#2144_T8_H05 0.074301699
## DGY#1657_T8_A06 0.083787269
## DGY#2076_T8_B06 0.095121634
## DGY#2071_T8_C06 0.078711320
## DGY#2150_T8_D06 0.074579462
## DGY#2084_T8_E06 0.089662753
## DGY#2086_T8_F06 0.070485360
## DGY#2089_T8_G06 0.056466172
## DGY#2090_T8_H06 0.044012933
## DGY#1972_T8_A07 0.143866432
## DGY#2135_T8_B07 0.098193925
## DGY#2143_T8_C07 0.073569169
## DGY#2144_T8_D07 0.070711415
## DGY#2084_T8_E07 0.091648172
## DGY#2086_T8_F07 0.093291569
## DGY#2089_T8_G07 0.079405406
## DGY#2090_T8_H07 0.077754406
## DGY#1_T11_A01 0.004821539
## DGY#620_T11_B01 0.054328373
## DGY#500_T11_C01 0.079100556
## DGY#1315_T11_D01 0.074180463
## DGY#1657_T11_E01 0.004431967
## DGY#2076_T11_F01 0.046256698
## DGY#2071_T11_G01 0.075567660
## DGY#2150_T11_H01 0.063603905
## DGY#2084_T11_A02 0.085642066
## DGY#2086_T11_B02 0.074403708
## DGY#2089_T11_C02 0.126279637
## DGY#2090_T11_D02 0.073142694
## DGY#1972_T11_E02 0.159261438
## DGY#2135_T11_F02 0.079039119
## DGY#2143_T11_G02 0.090568125
## DGY#2144_T11_H02 0.066475346
## DGY#1657_T11_A03 0.074584587
## DGY#2076_T11_B03 0.091232831
## DGY#2071_T11_C03 0.073733217
## DGY#2150_T11_D03 0.082859144
## DGY#2084_T11_E03 0.089074355
## DGY#2086_T11_F03 0.031880969
## DGY#2089_T11_G03 0.031903778
## DGY#2090_T11_H03 0.035493834
## DGY#1972_T11_A04 0.146486392
## DGY#2135_T11_B04 0.087386898
## DGY#2143_T11_C04 0.068452785
## DGY#2144_T11_D04 0.075904355
## DGY#2084_T11_E04 0.085430608
## DGY#2086_T11_F04 0.107750269
## DGY#2089_T11_G04 0.074540074
## DGY#2090_T11_H04 0.075156079
## DGY#1_T11_A05 0.005779254
## DGY#620_T11_B05 0.059846761
## DGY#500_T11_C05 0.066439773
## DGY#1315_T11_D05 0.057371673
## DGY#1657_T11_E05 0.005694834
## DGY#2076_T11_F05 0.043938140
## DGY#2071_T11_G05 0.060153398
## DGY#2150_T11_H05 0.047707096
## DGY#2084_T11_A06 0.070701381
## DGY#2086_T11_B06 0.060525914
## DGY#2089_T11_C06 0.110563878
## DGY#2090_T11_D06 0.057440433
## DGY#1972_T11_E06 0.128211440
## DGY#2135_T11_F06 0.067184089
## DGY#2143_T11_G06 0.065307456
## DGY#2144_T11_H06 0.047814026
## DGY#1657_T11_A07 0.067233401
## DGY#2076_T11_B07 0.082258396
## DGY#2071_T11_C07 0.067407843
## DGY#2150_T11_D07 0.064711242
## DGY#2084_T11_E07 0.097232460
## DGY#2086_T11_F07 0.056435510
## DGY#2089_T11_G07 0.043931312
## DGY#2090_T11_H07 0.032983854
## DGY#1972_T11_A08 0.136234564
## DGY#2135_T11_B08 0.076619673
## DGY#2143_T11_C08 0.063958897
## DGY#2144_T11_D08 0.064775630
## DGY#2084_T11_E08 0.061734331
## DGY#2086_T11_F08 0.094042811
## DGY#2089_T11_G08 0.064140941
## DGY#2090_T11_H08 0.058556730
## DGY#1_T13_A01 0.004864563
## DGY#620_T13_B01 0.083842855
## DGY#500_T13_C01 0.099060710
## DGY#1315_T13_D01 0.086814502
## DGY#1657_T13_E01 0.004362507
## DGY#2076_T13_F01 0.043838701
## DGY#2071_T13_G01 0.086123079
## DGY#2150_T13_H01 0.066541919
## DGY#2084_T13_A02 0.121348958
## DGY#2086_T13_B02 0.075400523
## DGY#2089_T13_C02 0.135341566
## DGY#2090_T13_D02 0.081607843
## DGY#1972_T13_E02 0.224047184
## DGY#2135_T13_F02 0.087115255
## DGY#2143_T13_G02 0.079385330
## DGY#2144_T13_H02 0.071404407
## DGY#1657_T13_A03 0.095011629
## DGY#2076_T13_B03 0.125594294
## DGY#2071_T13_C03 0.080560186
## DGY#2150_T13_D03 0.074460572
## DGY#2084_T13_E03 0.113660334
## DGY#2086_T13_F03 0.078567120
## DGY#2089_T13_G03 0.041775060
## DGY#2090_T13_H03 0.035177717
## DGY#1972_T13_A04 0.159052085
## DGY#2135_T13_B04 0.107792128
## DGY#2143_T13_C04 0.070479743
## DGY#2144_T13_D04 0.082489152
## DGY#2084_T13_E04 0.110021368
## DGY#2086_T13_F04 0.133363939
## DGY#2089_T13_G04 0.069301224
## DGY#2090_T13_H04 0.054897093
## DGY#1_T13_A05 0.005584027
## DGY#620_T13_B05 0.079021461
## DGY#500_T13_C05 0.113880142
## DGY#1315_T13_D05 0.091579077
## DGY#1657_T13_E05 0.006421987
## DGY#2076_T13_F05 0.047643131
## DGY#2071_T13_G05 0.093407498
## DGY#2150_T13_H05 0.068160660
## DGY#2084_T13_A06 0.107841511
## DGY#2086_T13_B06 0.078953857
## DGY#2089_T13_C06 0.152883476
## DGY#2090_T13_D06 0.095480624
## DGY#1972_T13_E06 0.226896023
## DGY#2135_T13_F06 0.104225780
## DGY#2143_T13_G06 0.088438499
## DGY#2144_T13_H06 0.085622814
## DGY#1657_T13_A07 0.104333064
## DGY#2076_T13_B07 0.132967145
## DGY#2071_T13_C07 0.093970838
## DGY#2150_T13_D07 0.113108773
## DGY#2084_T13_E07 0.115145270
## DGY#2086_T13_F07 0.084127260
## DGY#2089_T13_G07 0.048557144
## DGY#2090_T13_H07 0.037288653
## DGY#1972_T13_A08 0.163989886
## DGY#2135_T13_B08 0.107717304
## DGY#2143_T13_C08 0.067961520
## DGY#2144_T13_D08 0.090795214
## DGY#2084_T13_E08 0.103087823
## DGY#2086_T13_F08 0.145173856
## DGY#2089_T13_G08 0.072473075
## DGY#2090_T13_H08 0.059296305
## DGY#1_T14_A01 0.006847412
## DGY#620_T14_B01 0.099449720
## DGY#500_T14_C01 0.133959625
## DGY#1315_T14_D01 0.013727993
## DGY#1657_T14_E01 0.005033269
## DGY#2076_T14_F01 0.054452309
## DGY#2071_T14_G01 0.110810335
## DGY#2150_T14_H01 0.087073754
## DGY#2084_T14_A02 0.139558284
## DGY#2086_T14_B02 0.089579667
## DGY#2089_T14_C02 0.182720272
## DGY#2090_T14_D02 0.105970122
## DGY#1972_T14_E02 0.257156854
## DGY#2135_T14_F02 0.180948320
## DGY#2143_T14_G02 0.106888781
## DGY#2144_T14_H02 0.093892838
## DGY#1657_T14_A03 0.118228821
## DGY#2076_T14_B03 0.155387483
## DGY#2071_T14_C03 0.096693622
## DGY#2150_T14_D03 0.094271568
## DGY#2084_T14_E03 0.099562292
## DGY#2086_T14_F03 0.103393889
## DGY#2089_T14_G03 0.066128364
## DGY#2090_T14_H03 0.047003724
## DGY#1972_T14_A04 0.192991309
## DGY#2135_T14_B04 0.129673865
## DGY#2143_T14_C04 0.098946603
## DGY#2144_T14_D04 0.099078655
## DGY#2084_T14_E04 0.115559326
## DGY#2086_T14_F04 0.143906270
## DGY#2089_T14_G04 0.083461970
## DGY#2090_T14_H04 0.074571045
## DGY#1_T15_A01 0.006839814
## DGY#620_T15_B01 0.071058812
## DGY#500_T15_C01 0.028362617
## DGY#1315_T15_D01 0.128559657
## DGY#1657_T15_E01 0.006443725
## DGY#2076_T15_F01 0.060980845
## DGY#2071_T15_G01 0.077639747
## DGY#2150_T15_H01 0.020107711
## DGY#2084_T15_A02 0.130373764
## DGY#2086_T15_B02 0.090064010
## DGY#2089_T15_C02 0.188075403
## DGY#2090_T15_D02 0.109133548
## DGY#1972_T15_E02 0.252640280
## DGY#2135_T15_F02 0.113394984
## DGY#2143_T15_G02 0.039999806
## DGY#2144_T15_H02 0.098149793
## DGY#1657_T15_A03 0.092923997
## DGY#2076_T15_B03 0.186086591
## DGY#2071_T15_C03 0.103860905
## DGY#2150_T15_D03 0.121045361
## DGY#2084_T15_E03 0.141942396
## DGY#2086_T15_F03 0.111533015
## DGY#2089_T15_G03 0.054563290
## DGY#2090_T15_H03 0.045802438
## DGY#1972_T15_A04 0.198797778
## DGY#2135_T15_B04 0.137045296
## DGY#2143_T15_C04 0.088008761
## DGY#2144_T15_D04 0.047569780
## DGY#2084_T15_E04 0.134128432
## DGY#2086_T15_F04 0.130998129
## DGY#2089_T15_G04 0.106562208
## DGY#2090_T15_H04 0.074473363
## DGY#1_T18_A01 0.006032208
## DGY#620_T18_B01 0.071792015
## DGY#500_T18_C01 0.075109067
## DGY#1315_T18_D01 0.124801529
## DGY#1657_T18_E01 0.005839737
## DGY#2076_T18_F01 0.052061672
## DGY#2071_T18_G01 0.059021754
## DGY#2150_T18_H01 0.062714639
## DGY#2084_T18_A02 0.070355357
## DGY#2086_T18_B02 0.065647076
## DGY#2089_T18_C02 0.141737426
## DGY#2090_T18_D02 0.077608981
## DGY#1972_T18_E02 0.125411562
## DGY#2135_T18_F02 0.081374369
## DGY#2143_T18_G02 0.084203974
## DGY#2144_T18_H02 0.066439165
## DGY#1657_T18_A03 0.071232054
## DGY#2076_T18_B03 0.129373510
## DGY#2071_T18_C03 0.068500331
## DGY#2150_T18_D03 0.059752609
## DGY#2084_T18_E03 0.077173761
## DGY#2086_T18_F03 0.095145913
## DGY#2089_T18_G03 0.052463428
## DGY#2090_T18_H03 0.043821772
## DGY#1972_T18_A04 0.159082811
## DGY#2135_T18_B04 0.133346940
## DGY#2143_T18_C04 0.069492732
## DGY#2144_T18_D04 0.078713364
## DGY#2084_T18_E04 0.077225693
## DGY#2086_T18_F04 0.080259272
## DGY#2089_T18_G04 0.068415576
## DGY#2090_T18_H04 0.062796706summary.stats.gln <- as.data.frame(summary.stats)#Saves Data
save(path.data, list.folders, total, samples.num, flowData, filterData, summary.stats, sample.size, file = paste(path.data, "data_M.RData", sep=""))#Loads Data
load(file = paste(path.data, "data_M.RData", sep=""))